SCTPLS 2003 Conference,
Boston, MA, August 8-10
Alphabetical List of Authors & Abstracts, Last Updated July22, 2003
**Please note: This
list identifies the session in which a paper will be presented. To see the ordering of papers within the
session, consult the schedule file.
Authors are encouraged to read the abstracts of others within the same
session and to contact them before the conference to discuss or discover
thematic connections. Our hope is that
this will enrich the integration of ideas and the quality of discussion
following each paper presentation. **
Susan C. Aaron,
University of Toronto
Sat 18:15 Poster Session,
Outside Rooms 426-430
Where Are We Natural -
Creativity as Exemplary of Human Action Removed from Natural Patterns
If novel structure is the product of an act of creativity
that emerges by breaking a chaotic pattern - (Sabelli & Abouzeid,
"Definition and Empirical Characterization of Creative Processes,"
Nonlinear Dynamics, Psychology, and Life Sciences, January 2003) then is the
propensity of creativity in human beings evidence of a knowledge structure that
is constructed continually apart from the natural as a chaotic pattern is
considered to be based on natural structures? And if digital technology is
continually linking creative actions does it increase this network in abeiance
of chaotic patterns to arrive at some new form of stability or homeostasis?
Perhaps one might make this observation in the example of a human
technologically mediated performance, where the concurrent patterns of persons
broadcast globally but reoriented in the transmission by technologies alter the
nature of creating patterns so that the notion of patterns itself as the basis
for knowledge created from the proprioception of human bodies is altered, Does
this action emphasize this removal from "nature" as the human body in
their creation? What are the implications of this? Does this tell us about the
nature of knowledge, creativity, and reflect on humans as doers of nonnatural
acts while bearers of natural dynamics, and does this information allow us to
be more aware of what we are calling natural and what is otherwise for the
clarification of both?
Hossein Abbasi Nejad, Economics, University of Tehran
Shapour Mohammadi, Economics,
University of Tehran
Sat 9:00-10:30 Session, Room
224
On the Attractors of Structural
Change
We report results of over 18 months study of the attractors
of structural change for NICS. Existence of attractors in the economics’
structural change and their estimation
are our main interest. The results imply that the countries consume longer in
some structures than the others. This can be interpreted as existence of
attractors that pull countries to themselves in the first stage of the
development. In the other words one attractor (low level attractor) prevent
countries to reach industrial structure. Awareness of this can be helpful in
policymaking for transition from one structure to another. This analysis shade
light on the problem that why some countries can not get ride of traditional
structure.
Charles Adamson,
School of Nursing, Miyagi University
Sat 18:15 Poster Session,
Outside Rooms 426-430
Linguists Can’t See the Forest for
the Trees
What is language? In order to solve this tough problem,
linguists develop models of language (grammars) based on perceived regularities
in the language they observe. Applied linguists then try to find ways of
teaching these regularities to students or apply them to other fields such as
natural language processing on computers. This model is based on three simple
observations: [1] all linguistic features have prerequisites, [2] language
input must be meaningful to become internalized, and [3] language features are
fuzzy. The resulting model is a complex network of interlocking trees,
technically a forest, which represents Chomsky’s language acquisition device
(LAD). The model will be presented and then some of the implications will be
discussed.
Eizo Akiyama, Institute of Policy
and Planning Sciences, University of Tsukuba, http://infoshako.sk.tsukuba.ac.jp/~eizo/
Sat 9:00-10:30 Session, Room 224
Avatamsaka Game Dynamics
Avatamsaka game is investigated both analytically and by
means of computer simulations. (Two-person) Avatamsaka game is a game where
each agent's payoff completely depends not on her own decision but on the other
player's, thus any combination of mixed-strategies is Nash equilibrium.
However, the experimental data using human subjects have shown that the
distribution of players' actions in this game has a certain tendency. The
mechanism to reveal the origin of the empirical distribution is presented from
viewpoint of game dynamics including agents' cognition update process.
Gary Bodie, Department of
English, University of Oregon
Sat 14:00-15:30 Session, Room
220
Pleasing Form: Complex Aesthetics in
Beowulf
This paper will use recent advances in the applications of
chaos and complexity theory to examine the poetic text of Beowulf. Cognitive
science, linguistic theory, narrative theory and literary criticism are all
beginning to use complexity theory to explore the ways in which a text
transmits (and a mind constructs) meaning; it is my argument that these
disparate fields converge through this common approach into a new understanding
of how aesthetic appreciation operates. Because Beowulf has long been valued as
a work of art and is also known to be a complex and chaotic text (in the
traditional, nonscientific sense), it provides an ideal subject for this
study. By mapping the narrative in both
its macro- and micro- scales, I will demonstrate the fractal structure of the
text and will argue that it is this structure which contributes to its
reception as an aesthetically pleasing work of art. Because chaos theory
describes natural systems across all scales, from molecular to galactic
structures—in other words, is a mathematical formulation of the forms and
motions of nature—I will argue that it also describes the forms which underlie
this text (a text which may be more representative of a natural poetics than any
other in the English canon) and the motions of the cognitive process of
aesthetic reception.
Don M.M. Booker,
School of Computer Science and Information
Systems, Pace University, NY
Sat 18:15 Poster Session,
Outside Rooms 426-430
What Is Information? Information Is
Fractal and Chaotic
This paper will review several mathematical models which
answer the question, "What IS Information?" and suggest that they may
share a common framework which is characterized by recursive and self-similar
aspects. Shannon Weaver communications theory, dynamical systems models,
computational complexity models, Chaitan Kolmogorov algorithmic information
theory, Renyi information, and Demski's specified complexity model will be
briefly reviewed and discussed. Issues related to the contextualization of
meaning will also be discussed in the context of statistical methods such as
Demski's aimed at assisting in this effort.
Don M.M. Booker,
School of Computer Science and Information
Systems, Pace University, NY
Sun 11:30-12:30 Session, Room
220
Is Information Conserved? Can 'New'
Information Be Created?
This paper will examine several approaches to formulating and
proving a conservation theorum for information, using Boltzman entropy and the
second law of thermodynamics, perspectives from "Physics from Fisher
Information", Chiaitan algorithmic information theory, 'no free lunch
theorums' and evolutionary search and learning arguments. The implications of
an information conservation theorum for the 'creation' or origination of 'new'
information will be explored and some proposed sources of 'creative' or 'new'
information will be examined including random and parallel search algorithms
and methods, symetry breaking, prior pattern
based or genetic heurestics, and information viewed as an experiment or
measurement,and as a symetric and asymetric game.
Clifford T. Brown,
Middle American Research Institute, Tulane
University, http://web.dandp.com/enviroweb/cultural/
Sat Evening Keynote, Rooms
426-430
Dynamics and Patterns in the Rise and
Fall of States: Problems and Data
Theories of human cultural evolution, and in particular those
that purport to explain rise of the state, have been slow to integrate
nonlinear dynamical systems theory (NDS). Nevertheless, it does appear to be
necessary to include NDS in any satisfactory description (much less
explanation) of the general trajectory of cultural evolution. I discuss
prevailing theories of cultural evolution and their weaknesses; I describe the
characteristics that I believe an adequate model of cultural evolution should
possess; I explain some of the fundamental problems with the archaeological and
historical data; and I suggest ways in which nonlinear science can contribute
to the empirical solution of these complex problems.
Gerardo Burkle-Elizondo, Centro
Interinstitucional de Artes y Humanidades, Universidad Autónoma de Zacatecas,
México
Ochoa-Santos Miguel, Centro
Interinstitucional de Artes y Humanidades, Universidad Autónoma de Zacatecas,
México
Terán-Elizondo Isabel, Centro
Interinstitucional de Artes y Humanidades, Universidad Autónoma de Zacatecas,
México
Sat 18:15 Poster Session,
Outside Rooms 426-430
Fractality in the Main Characters of
a Long-Range Literature
The quantitative information
about the use of words in the structure of a text had been studied using
the Zipf´s analysis. There are complex hierarchies at micro and macrostructures
of long-range lenguage to get a coherent message. Some of them belong to
syntactic and grammar rules. The place and link of grammatical figures like
pronouns, verbs, nouns, articles etc. wich fractal correlations distribution
are well known.
The aim
of this work is to investigate if in a very long-range sequence of literary
corpora, in the use of the word that is the name of the main character in the
text, this is a dynamic distribution in the quantitative and statistical way. To make it we choose the
first two chapters of a novel, with a total number of words in the set up to 11 126, from Vincenzo
Consolo´s “La sonrrisa del ignoto marinero”. Like an axis the two main
characters are the “Barón” that
appears 71 times, and the “marinero”
(the same that “Interdonato” and the “comerciante”) 63 times. In the first
analysis we calculate the fractality of a series about the ocurrence of anybody of the “Barón” or the “marinero”,
and the number of words between each time
that one of them appears. We found a Df
1.929 ± 0.357 with r2 0.806. In a second analysis we calculate the
fractality of a series about the way that the “Barón” and the “marinero” mix
each other , counting the words number between each time that the “marinero”
appears, and the same about the “Barón”. We found Df 1.827 ± 0.669 with r2 0.882.
This
novel is an historical one. It breaks with linearity with a “polyphony”
narrative style. The recursive frequency design could have linguistic relevance
in the brain codex system and the communication process.
Gerardo Burkle-Elizondo, Centro
Interinstitucional de Artes y Humanidades, Universidad Autónoma de Zacatecas,
México
Sat 11:00-12:30 Session, Room
208
Complexity in the Mesoamerican Myth
of Quetzalcoatl
In the Mexica and the Mixtec traditions from Mesoamerica
about the genesis, the Quetzalcoatl god, the plumed serpent moves along
different dimensions in his travel to the underworld (Tlalocan). He dies, but
to bring back to life with a human soul in a holy nature, because he is a man
that becomes a god through self-sacrifice. He was born like the “star of the
morning” (Venus) in order to become one with the Sun in the process of creation
that gets moving from the upper world (Tamoanchan).
Archaeologists
make the description of the relationship between this myth present in the
prehispanic codex of Borgia,
Féjerváry-Mayer and Florentino, with the ritual space of “Tula” city like a
place in which in the earth, the adventure of
Quetzalcoatl come true like a holy and ritual architecture that represents here, the upper
and the underworld. I found a
relationship of self-similarity between these three spaces: the mythic one, the
codex and the Tula city with its pyramids and ball game like the trajectory of
an attractor that is Quetzalcoatl himself –who dies and bring back to life-
Venus- the Sun- the life, all this inside a 52 year period (xiuhmolpilli).
From
this recursive process with these space-temporal patterns of cusp catastrophes
life-death-resurrection in which we find chaos, entropy and turbulence, finally
the morphogenesis on brow appears with the born of Venus, the Sun, the man and
the world. A complex space has now
structure in a trajectory of a cosmic-creative space myth-codex-Tula that, like
a process of cosmic movement, emerges in a non-linear time. The aims of the present study is to show the
complex relationships that exist between
this prehispanic knowledge with some
concepts of Complex Dynamic Systems, making a comparison between the images
of the codex, the buildings and
structures of Tula city and the myth.
Sary Levy Carciente, IIES-FACES-UCV, Economics and Social Research Institute
'Rodolfo Quintero', Central University
of Venezuela
Hector Sabelli, Chicago
Center for Creative Development, http://creativebios.com
Klaus Jaffe, Universidad
Simón Bolívar, http://atta.labb.usb.ve/klaus/klaus.htm
Rafael Rodriguez, Universidad Central de
Venezuela
Sat 9:00-10:30 Session, Room
224
Complex Patterns in the Oil Market
Nonlinear dynamic analyses show that the pattern of the time series
for the prices and volumes of Brent crude oil sold in the London International
Exchange shows asymmetry, diversification, low recurrence, novelty, nonrandom
complexity, and defined periods where specific attractors are at work. The
series of differences between consecutive terms in oil prices and sales volume
show biotic-like pattern, demonstrating that changes are not random nor
chaotic. These results suggest that oil
markets may be more influenced by human decision-making processes than by
physical constraints in supply and demand. Nevertheless, they show highly
structured organization that are detectable with unconventional methods of
analysis explored here.
Ken Colwell, Department of
Management, LeBow College of Business, Drexel University, PA
Alan D. Meyer, Management
Department, Lundquist College of Business, University of Oregon
Sat 16:00-17:00 Session, Room
224
Fractal Dimensions in
Interorganizational Alliance Networks
Much attention has been given in recent years to the
"scale-free" topology of networks. A scale-free network is one in
which the distribution of links between nodes is not normally distributed. Such
a network consists of a few densely connected "hub" nodes, while most
nodes have few connections. This structure has been found to be persistent in a
variety of networks comprised of very different node and link types. In a prior
study, we found that the scale-free topology is also present in the alliance
network of organizations in the nascent field of nanotechnology. In this study,
we suggest several ways of describing the dimensions of a complex
interorganizational network and show that the scale-free topology is
self-similar with respect to these dimensions. Methodological implications for
the study of organizational alliances are discussed.
Catherine Dibble,
University of Maryland, http://www.glue.umd.edu/~cdibble/
Fri 13:30-17:30 Workshop,
Room 208
Agent-Based Computational
Laboratories
See Workshop
Descriptions.
Kevin Dooley, Arizona State
University, http://www.eas.asu.edu/~kdooley/
Steven Corman, Arizona
State University
Sat 16:00-17:00 Session, Room
208
WORKSHOP: Modeling Longitudinal
Dynamics in Textual Data
Many social phenomena create a time series of texts. Emergent social events and processes are
captured in newspaper articles, emails, reports, and conversations. Theoretical insight can be gained by studying
the underlying dynamics of the longitudinal textual data. For example, thematic periodicities may
indicate strong institutional influences.
We shall present a general methodology for the analysis of such data,
and demonstrate it in a number of contexts.
Mark R. Filippi,
Living Lessons - An Instructional Self-Care
Center, http://www.markfilippi.com
Sat 11:00-12:30 Session, Room
224
Healing Through Sentience - Breaking
the Cycle of Intervention
In 2000, I published a prospective paper in the Journal of
Vertebral Subluxation Research that declared non-linear dynamics offered
clinical tools to design what I termed a virtual adjustment. Using the
principles of phylobiology, it was proposed that - "by resolving the
dilemma of self-reference, we can expand our access to autopoiesis to a
non-local level and allow the process of autosuggestion to sort for memes that
increase our collective and personal coherence." JVSR 3(4), 1999-2000.
Several clinical models were then templated.
This
spring, I am conducting a 90-day preliminary trial of a nonverbal skill
transference program developed through the intervening years that uses visual
and postural development as resources in guiding clients to regaining their
vitality and recuperative power. The central feature of this system involves
directing the client to an awareness of their visual-postural dynamic
(VPD). The VPD consists of six
discrete interactive tasks the doctor and client perform to access an
undifferenciated consciousness, AKA, sentience. The unique contribution of the
VPD is that it places the emphasis on interpersonal aspects of healing. This
takes the myope, amblyope, what have you, beyond their limitations, literally
into the living mirror of their daily lives.
This
clinical application, which has been dubbed, Behavioral Chiropractic, uses
several aspects of non-linear dynamics to study and evaluate the client's level
of integration. I'll discuss how this
was accomplished on a low-tech level, using psychomotor performance parameters
and other simple somatic markers. A composite summary of my trial's results to
date will also be presented.
Key
Words: neuroception,phenomenology,sentience,ontosomatic,biosemiotics
Charles A. Fink,
Behavioral System Science Organization, Falls
Church, VA, http://www.behavioralsystems.org
Sun 9:00-10:30 Session, Room 224
INTERACTIVE DEMONSTRATION:
Elicitation to a Deconstructed-System
for Human Behavior Study
I give a brief scientific introduction, with coupling to
SCTPLS interests, and then an interactive demonstration of eliciting ("canned" for privacy) from a
volunteer functional determinants of
his/her behavior for a given event, situation, or condition. Elicitation
is recorded within functions of the author's Human Behavior System on preprinted whiteboard and
captured electronically in real time to
computer, where a researcher or other professional annotates whiteboard elicitations as they are
computer-displayed so as to highlight potential problems in behavior-determining
processes. Then the researcher plays
back on computer a more-or-less a movie of whiteboard elicitations and
annotations so that he/she and the volunteer may discuss problem areas
uncovered.
Pawel Frankowski, Department of
Political Science, University of M.C. Sklodowska, Poland
Sat 16:00-17:00 Session, Room
224
Control Or Not? Hegemony Through the Lens of Chaos Theory
Author explains what is role of the strongest actor in
chaotic system of international relations. Author adopted Callen/Shapiro's
theory of social imitation and Vaga's theory of coherent market for
international relations and created dimensional model of IR Author assumes that
inspite of self-organizing character of international relations, system needs
hegemon for stabile developement and exiting of hegemon sets system in state of
dynamic equilibrium. Author bases on two hypopthesies: 1. Accordingly to growth
of state's attractiveness (in military,
politic,cultural areas) and state potential, international support for
its action increase; so that, state/hegemon could control system of
international relations in easier way. 2. Growth of state's power means that
homeostat's principle is broken because strongest state both stabilizes and
destabilize system, i.e. states can control and cause chaos.
Walter J. Freeman, Department of Molecular and Cell Biology, University
of California, http://sulcus.berkeley.edu
Sat Evening Special Award
Address, Rooms 426-430
Where can chaos theory take us? Where do we want to
go?
Chaos theory hit psychology
like a thunderbolt. We were blinded by the flash of insight and enthralled by
arcane technologies borrowed from deterministic chaos. We stumbled badly
over correlation dimension and the rigidity of basin-attractor theory.
Now these youthful excesses are behind us. We have a wonderful opportunity to
document the creative dynamics by which brains organize themselves in
assimilating their environments. Advances can come by applying chaotic
dynamics to brain images from subjects who report the meanings of their
experiences. The greatest source of new knowledge is the scalp EEG:
inexpensive, easy to acquire, comfortable for subjects, and incredibly rich in
heretofore unintelligible detail.
Walter J. Freeman,
Department of Molecular and Cell Biology,
University of California, http://sulcus.berkeley.edu
Sun 11:00-12:30 Session, Room
208
Scalp EEGs Reveal Large Spatial
Patterns with the Texture of Gyri in Frames Flickering at the Speed of Thought
Sensation and perception both require dendritic currents and
axonal action potentials of neurons that are widely distributed in the
forebrain. The spatiotemporal neural
activity patterns in sensation differ dramatically from those in
perception. Sensation is mediated by
action potentials of feature-detector neurons observed with microelectrodes and
modeled with neural networks. Perception
is formation of large-scale patterns of coordinated action potentials from millions
of neurons. Patterns are modeled as
densities in a continuous sheet and observed with electrode arrays to record
the EEG from the dendritic currents that control the action potentials.
A
two-stage mechanism is proposed by which sensory cortical activity that is
stimulus-driven by receptor input induces hemisphere-wide, self-organized
patterns of perceptual neural activity within 300-500 ms of stimulus
onset. In the 1st stage sensory input
destabilizes the primary receiving areas, so that the random microscopic action
potentials condense into a wave packet, like a raindrop formed from water
vapor.
The 2nd
stage occurs as wave packets from all sensory areas are carried by action
potentials through the forebrain. The
dendritic integration of activity destabilizes much or all of each hemisphere,
and a global pattern emerges. Such
patterns have been observed in animals by intracranial recording of EEG from
multiple areas, and noninvasively in normal humans by multichannel scalp EEG. Observation with common clinical equipment is
facilitated by dense electrode arrays for high spatial resolution and the
Hilbert transform for high temporal resolution.
The patterns provide access to the synchrony used by the brain in
high-level cognitive functions involving perceptual experience.
Kenkichi Fukurotani, Engineering, Toyama University
Dusit Thanapatay
Sat 18:15 Poster Session,
Outside Rooms 426-430
Synchronous Period-doubling in
Flicker Responses of Retinal Neurons
We studied nonlinear dynamics of horizontal cells and
transient-type amacrine cells in the goldfish retina. We recorded intracellular responses of
horizontal cells and amacrine cells to periodic flashes of light. The neurons exhibited period-doubling bifurcation
and chaos when periodic frequency of the light flashes varied as a parameter. The
period-2 orbit appeared at frequency of 25 Hz for monophasic-type
horizontal cells, 20 Hz for biphasic-type horizontal cells, and 15 Hz for
triphasic-type horizontal cells.
Transient-type amacrine cells bifurcated at the same frequency as that
of monophasic horizontal cells for period-2 obit. The bifurcation phenomenon of horizontal
cells did not depend on spot size of flash light. Therefore, we concluded that the bifurcation
originated at postsynaptic level of horizontal cell dendrites at ribbon
synapses between cone photoreceptor basal ends or even at cone photoreceptor
level.
Ricardo Gimeno Nogués, Department of Quantitative Methods,
Universidad Pontificia Comillas, , http://www.upco.es/personal/rgimeno/default.html
Ruth Mateos de Cabo, Department of Business Administration, Universidad San Pablo-CEU
Miguel Angel Pelacho, Department of Humanities
Elena Olmedo Fernández, Department of Applied Economics, University of Seville
Lorenzo Escot Mangas, Department of Applied Economics, Universidad Complutense
Pilar Grau Carles, Department of Economics, Universidad Rey Juan Carlos
Sun 14:00-15:30 Session, Room
224
Lyapunov Tests for Short Time Series
Lyapunov Exponents are common tools in order to characterize
a dynamical model and to look for chaotic behavior. Computation of the Lyapunov
Exponents of a models is well known, and
there are also many articles referred to its estimation in the case of time
series. But it has not been resolved yet the problem of the estimation error
inherent to any calculation with real data. This estimation error plays a key
role in testing the hypothesis of positive exponents, as a signal of chaos in
the time series, mainly working with short time series, noisy time series, or
low positive values for the exponents.
Some
works has appeared in recent years that tried to give an answer to this
problem. Some of them are parametric, and some are non-parametric. In the
present paper we compare the results of using these methods with short, noisy
time series obtained from the Spanish Economy.
Jeffrey Goldstein, Adelphi University
Robin Robertson, www.RobinRobertson.net
William Sulis, McMaster
University
Sat 9:00-10:30 Session, Room
208
Chaos, Complexity, and Metaphysics
Einstein once asserted in an article (co-written with Leopold
Infeld), "The results of scientific research very often force a change in
the philosophical view of problems which extend far beyond the restricted
domain of science itself. Schopenhauer had voiced a similar point concerning
scientific findings, "...the corrected, extended, and more thorough
knowledge of nature is the very knowledge that always undermines and finally
overthrows the metaphysical assumptions that until then have prevailed."
Indeed,
the varied fields constituting the sciences of complex systems have been
touching many of the most salient philosophical issues of the last century
including such formidable subjects as the origin and nature of life, theories
of consciousness, the soundness of reductionist explanations, the need to
update traditional views of causality and determinism, the course of evolution,
implications of thermodynamics and statistical mechanics, the relation of parts
to wholes, and other equally thorny matters. Simply concentrating on the empirical findings
themselves would forfeit the conceptual opportunities offered by them.
In this
symposium we would like to present several metaphysical implications drawn from
the study of complex systems. The format will be a cross between individual
presentations and a panel discussion. That is, one person will be presenting at
a time but the other two panel members will chime in when appropriate.
In
particular, we will discuss the following topics:
1.
Archetypal dynamics and the nature of emergence. Presented by William Sulis,
MD., Ph.D. "Archetype" is here being used in a sense influenced by
but also different from that of Jung.
2.
Emergence and self-transcending constructions. Presented by Jeffrey Goldstein,
Ph.D. The construct of emergence will be discussed as a means of access into a
wider, more basic metaphysical construct, that of self-transcending
constructions which can be used to replace such earlier metaphysical notions as
Whitehead's process.
3. The
Case of the missing 3rd. Presented by Robin Robertson, Ph.D. How is it that
form arises out of chaos? How do we reconcile mind with body? In attempting to
deal with these primary questions, time and again a "missing third"
is posited that lies between extremes. The problem of the "missing
third" can be traced through nearly the entire history of thought. The
form it takes, the problems that arise from it, the solutions suggested for
resolving it, are each representative of an age. We will present several such watershed
points.
Joel F. Gordon,
MDRC
Sun 14:00-15:30 Session, Room
224
Using Developmental Trajectories to
Explore "Bios"
In recent papers Sabelli and his colleagues have suggested
that a variant of chaos they call "bios" is useful for thinking about
creativity. To model this behavior they invoke a process equation, x' = x+ g * sin(x), where increasing the
parameter g ("gain") beyond a threshold drives trajectories into a
quasi-random, not quite chaotic pattern
"bios". This investigation employs a developmental approach in
which the "gain" parameter in these equations is increased with each
iteration. An easily implemented
spreadsheet model is used to demonstrate assorted types of "biotic"
trajectories. Results indicate that
there may be scattered regions where these trajectories reveal novel
characteristics, reinforcing the
proposal that there are ways in which bios can be seen as distinct from
chaos. In addition, this report will explore
ways in which replacing the 'sin(x)' term of the process equation with a
Fourier expansion can result in an enhanced range of behaviors within biotic
systems. The discussion will address
how looking at trajectories developmentally reveals characteristics of systems
that are not apparent from standard bifurcation diagrams and also consider the
unexpected stability found at high settings of the gain parameter. I will conclude with speculations on using
the bios concept metaphorically in thinking about change and creativity.
Stephen J. Guastello, Department of Psychology, Marquette University, , www.marquette.edu/psyc/guastell.html
Sun 16:00-17:00 Session, Room
224
WORKSHOP: Accident Analysis and
Prevention
The goal of this extended workshop presentation is to make
the bridge between conventional thinking on this topic and what has been
learned from studies in nonlinear dynamics and complex systems. Although much of the system-related knowledge
has been gained from occupational accident situations, the principles
generalize well to accident situations in transportation, health care, and
public situations.
The
program will begin by considering several concepts of causation that permeate
the risk analysis literature: the single cause and risk ratio, chains of
events, fault tree analysis, factorial models, and catastrophe models. Basic
ergonomics and stress variables can be important contributors to any of the
foregoing causal structures. Fault trees, which have become known as dynamic
fault trees in recent years have the capacity to track complex events as they
unfold over time. Catastrophe models, which are clearly nonlinear and dynamic,
describe and predict discontinuous changes of events over time.
The
catastrophe models characterize single accidents as well as collective accident
experience. Statistical properties of accidents and catastrophes will be
addressed and will be of particular interest to participants with actuarial or
other research objectives.
Frontier
issues in accident analysis and prevention involve complex systems with
multiple human and machine agents. How can task groups become coordinated or
destabilized? What properties of human-machine interaction lead to
stabilization? How is the concept of chaos relevant?
Prevention
techniques range from those that are centered on the individual human agent to
those that affect complex systems. Levels of effectiveness for some benchmark
systems are considered along with emergency management systems.
Stephen
J. Guastello is the author of two books (Chaos, Catastrophe, and Human Affairs,
and Managing Emergent Phenomena) and nearly 100 journal articles and book
chapters, a substantial portion of which are on nonlinear dynamics topics.
Christine Hardy,
Centre Eco-Mind, http://eco-mind.org
Sun 14:00-15:30 Session, Room
220
Intuitive Dynamics and Chaos
Semantic Fields Theory (Hardy, 1998), as a cognitive theory,
allows us to formalize some of the dynamics of this stupendous human capacity,
intuition, which comprises a variety of sophisticated non-logical thinking
modes. According to SFT, the fundamental dynamics of a cognitive system is the
Spontaneous Linkage Process. This connective dynamics is triggered between
semantic constellations (or SeCos) by a common semantic feature (similarity of
feeling, value, form or semiotics, that is, of a semantic content of any type),
and may connect together different levels of the Mind-Body-Psyche system, or
distinct SeCos. Using SFT's framework allows us to map sophisticated intuitive
dynamics, such as Communication at a distance between the semantic fields of
two linked people; sensitivity to the state of distant systems the connective process may also connect
consciousness semantic fields with eco-semantic fields in the environment or
objects; sensitivity to the influence of internal SeCos as
attractor-basins the SeCos, as
attractor-basins are bending the probability of internal events and behaviors
toward their attractors and thus inform possible future states, thoughts and
events toward past trajectories; Foreknowledge of one's own transformation
processes, that is, the premonition and precognition of future life companions
and essential events; and finally, sensitivity to underlying thinking dynamics
and logical fields the capacity to
understand people through cultural and personal mental models or logfields.
Sandra Hayes, Department of Mathematics, Technical University of
Munich, Germany, hayes@mathematik.tu-muenchen.de
Sat 11:00-12:30 Session, Room
220
Chance and Deterministic Chaos
The notions of chance and
deterministic chaos, which seem contradictory , are intricately related. This
talk will investigate an aspect of this fascinating relationship which has
hardly been considered at all, namely to classify non-linear deterministically
chaotic dynamical systems as stochastic
time series models, even as possible linear models.
Although the orbits of a chaotic dynamical system f
are obviously purely deterministic, being governed by f, they can be understood from a statistical perspective .
Until now, ergodic theory has been the standard tool used to study typical
orbit behavior from a measure theoretical standpoint. A different approach is
from the viewpoint of time series analysis.
The only
result to date in this direction involves the asymmetric tent map, a
classical example of a nonlinear chaotic system, which was shown to have the
same autocorrelation function as a linear stochastic autoregressive process of
the first order with uniform marginal distribution ( Sakai and Tokumaru, 1980).
This surprising fact explains in a precise manner why the orbits of the tent
map look random: the deterministic dependency on the past decreases
exponentially in time and the influence of white noise dominates.
Time series models for other chaotic dynamical
systems will be presented and classified as standard time series models.
Understanding the relationship between random and chaotic time series is of
paramount importance in all applied fields, since all experiments produce time
series.
Tom Hollenstein, Department of Human
Development and Applied Psychology, University of Toronto
Sat 14:00-15:30 Session, Room
224
Variability as a Variable: A Model
and Measure of Behavioral Flexibility
Flexibility of responses to changes in the environment is a
key component of adaptive behavior. In psychology, however, behavioral flexibility
has received only brief attention at the theoretical level and has not been
adequately defined, modeled, or measured. This presentation defines flexibility
using a dynamic systems model of three nested time scales. This model defines
flexibility as the moment-to-moment variability among discrete psychological
states. This real-time variability at a micro scale is differentiated from
variability at a meso time scale, which is the relative stability of the
system. It is at this meso-scale that we can identify attractors as the
recurring patterns that emerge from
micro-scale variability. The third scale, or macro scale, is the
developmental time scale in which the relative continuity of these attractors
can be observed. The flexibility of parent-child interactions is used as an
illustration of how the micro scale in this model can be measured and analyzed.
This study tested the hypothesis that low flexibility in parent-child
interactions is related to problem behaviors emerging in early childhood.
Measures derived from state space grids (plots of the real-time trajectories of
the dyadic interaction) are used to show that diminished flexibility (i.e.
rigidity) is related to growth in antisocial behavior and internalizing
problems in 5-6 year olds. Implications of these measures of flexibility are
discussed in relation to the other two time scales in the model.
John Howie, Department of
Psychology, Pikeville College
Carol Grizzard, Department
of Religion, Pikeville College
Darrell Riffe, Pikeville
College
Sat 18:15 Poster Session,
Outside Rooms 426-430
Creating Chaos from the Void in
Mesoamerica
Many cosmogonic myths begin with a primordial unity-the void,
the monad, primal chaos-that then bifurcates into a masculine and feminine
pole. The feminine aspect is often then raped, flayed, torn asunder, or
dismembered to create the discrete particulars of the material world while the
masculine component remains spiritual, universal and heavenly. For some
cultures there is a second bifurcation point, either a twinning into a better
and a worse of the same gender or a reiteration of the original contrasexual
bipolarity with self-similar results. Does masculine dominance necessarily
require feminine dismemberment? Does such a myth of origins entail an
apocalyptic ending and return to the formless beginning? We explore these
issues in the context of ancient Mesoamerican civilizations, with particular
emphasis upon the Aztec cosmology as symbolized by the colossal statue of
Coatlicue, the decapitated ancient mother goddess of the serpent skirt. The
ritual space she inhabits at El Templo Mayor, where thousands upon thousands of
human sacrifices were ritually performed, reiterates the origins of the
universe as well as that of the Mexica society. For those of us who are seeking
a new mythological paradigm for the twenty-first century, it behooves us to
carefully examine through the lens of chaos theory what not to do.
John Howie, Department of
Psychology, Pikeville College
Ben Goertzel
Sat 14:00-15:30 Session, Room
220
Computational Analysis of Dream
Motifs
Dream texts are notoriously nonsensical. One method for discovering their implicit
order is first to identify a motif, then to seek out its recurrence in
subsequent dreams, and finally to analyze the entire series for the symbolic
significance of the motif. The changing
manifestations of the dream motif thus form a trajectory which reflects the
higher-dimensional trajectory followed by the dreaming mind as it changes
through time.
Is it possible for a computer program to assist in locating,
collecting, and analyzing recurrent dream motifs? Can computational analysis facilitate the
process of deriving a conscious meaning from the largely unconscious dream
text? Can dynamical systems theory
elucidate the trajectories of dreams and the dreaming mind? We have designed a software analytical
process for the computational analysis of dream texts and applied a simple
prototype version to a collection of several hundred dreams recorded by a
single dreamer over a period of years.
Although our initial prototype is based on word frequency statistics
rather than more advanced natural language processing, nevertheless it has the
ability to enhance the exploration of dream motifs beyond what can be done
purely “by hand.”
David Katerndahl, Department of Family
and Community Medicine, University of
Texas Health Science Center at San Antonio
Sun 11:30-12:30 Session, Room
224
Why Family Physicians Provide a Lower
Quality of Care Compared to Cardiologists and Psychiatrists
Comparison studies suggest that the quality of care provided
for specific medical conditions is poorer in primary care than in specialty
settings. Purpose: To estimate the complexity of ambulatory
patient encounters in family practice, cardiology, and psychiatry settings. Methods:
Secondary analysis of the 2000 National Ambulatory Medical Care Survey
(NAMCS) data using ambulatory patients seen in family practice, cardiology, and
psychiatry settings. The measures used
described the quantity of information and services exchanged between patient
and, the visit-to-visit variability of these exchanges, and their overall
diversity. The complexity for each
variable was estimated as the quantity weighted by variability and diversity. Input and output as well as total encounter
complexity were estimated. Results: Although there was minimal difference in the
unadjusted complexity of encounter input of family practice and cardiology,
psychiatry's input is less. Cardiology
involves more input quantitatively, but the diversity of family practice input
eliminates the difference. Cardiology
also involves more complex. Overall,
there is little difference in the unadjusted complexity of encounters in family
practice and cardiology. However, when
the duration of visit is factored in, the care provided in family practice
becomes twice as complex relative to cardiology and seven times as complex
relative to psychiatry.
Conclusions: The poorer quality
of care reported in studies of family practice relative to cardiology and psychiatry
may reflect the increased complexity of the encounters. In addition to the use of case-mix,
estimation of input and output complexity may be another tool for adjustment in
policy-relevant studies
Peter Knapp, Department of
Sociology, Villanova University
Lance Hannon, Department
of Sociology, Villanova University
Sun 9:30-11:00 Session, Room
220
Nonlinear Effects of Concentrated Poverty on Homicide Rates: Effects and Alternatives to
Log-transformation
A considerable body of theory and research has suggested that
concentrated poverty has accelerating effects on homicide rates, and other
rates of violent crime. In sociology and
criminology, these nonlinear effects are important in explaining the collapse of
structures of social opportunities or social controls, and they also help
explain the nonlinear interactions of other variables related to the crime
rates, such as racial composition or rates homeownership. Similarly, in developmental psychology, nonlinear
effects of stress, trauma and disadvantage illuminate central puzzles about
discontinuities of development and processes of collapse or resilience. The findings of accelerating effects have
been partly contradicted by research finding decelerating effects of
concentrated poverty on homicide rates that has suggested contrasting models of
the effects of concentrated community disadvantage. Part of the inconsistency of existing studies
results from use of log transformation of skewed dependent variables. We resolve part of the inconsistencies in
the existing findings and examine further methods of analysis, including
inverse transformation and analyess using heteroscedasticity consistent
standard errors. We also discuss some
of the outstanding theoretical problems concerning these nonlinear effects.
Matthijs Koopmans,
Metis Associates
Sat 18:15 Poster Session,
Outside Rooms 426-430
Do Mental Illnesses Run in the
Family? Two Perspectives on the Role of Family Interaction in the Onset and
Course of Schizophrenia
There are two ways in which research about schizophrenia has
concerned itself with family interaction. One research tradition evolved out of
the work of family process theories (e.g., Bateson, Lidz, Wynne, n-bind
theory), which argue that certain types of dysfunctional family interaction
occur more often in families who have a schizophrenic member than in other
families. In spite of their considerable influence on clinical practice, there
is little empirical evidence up to this point to support these models. A second
strand of research has studied characteristics of family interaction to predict
relapse among former schizophrenic patients who return to their families
(Vaughn, Leff, and many others). The finding that certain family interaction
features (e.g., emotional overinvolvement) are indeed good predictors of
relapse, has been successfully replicated many times. This research has shied
away, however, from the question what predicts the first onset of the disorder.
This
presentation will examine the compatibility of these two perspectives and argue
that important similarities between the two approaches about what occurs in the
families of schizophrenic individuals are obfuscated by differences in
vocabulary and by the fact that one focuses on the origins of the disorder and
the other on its maintenance over time.
It will be assessed to what extent the findings about relapse can be
used to more effectively address etiological family process questions, and
whether insights from family process theory can be used to provide greater
specificity to the theories concerned with the prediction of relapse.
Matthijs Koopmans,
Metis Associates
Sun 11:30-12:30 Session, Room
224
What Are the Causes of Schizophrenia?
The Challenges to Family Process Theory and Research
Two factors have hampered attempts to empirically establish
whether or not dysfunctional family interaction is an etiological factor in the
onset of schizophrenia. First, there has
been growing modesty among researchers about our ability to demonstrate such
relationships empirically. Moreover, most thinking about the cause of
schizophrenia takes place within the vulnerability-stress paradigm, which
postulates that a constitutional vulnerability to the disorder is a necessary
condition for its occurrence, and that stress from the environment may provoke
symptoms in individuals who are constitutionally vulnerable. Models deemed
incompatible with this general paradigm, such as dynamically oriented family
process models, have been largely abandoned, under the mistaken understanding
that those models are necessarily purely environmental.
One of
the challenges to family process research is therefore to determine its
compatibility with the traditional vulnerability-stress paradigm, and assess
whether modifications are required to that paradigm to accommodate hypotheses
derived from family process theory. This presentation will argue that while
family process models are not necessarily incompatible with the
vulnerability-stress paradigm as it is, its specific proposals about what
exactly individuals are vulnerable to and about how stress operates to provoke
symptoms, diverge from how the vulnerability-stress paradigm is traditionally
understood.
Martin B. Kormanik,
O.D. Systems, Inc., www.odsystems.com#http://www.odsystems.com
Sat 11:00-12:30 Session, Room 224
The Complexity of Workplace Violence:
Diagnosing Organizational Awareness
Strategies for addressing workplace violence are generally
proactive, focused on prevention and preparation, or reactive, focused on
response to an incident. Before
strategies are put in place, however, the complexity of the issue demands an
organizational diagnosis so that chosen strategies have maximum benefit. Awareness development is a construct for
analyzing cognitive and psychosocial growth in relation to a transitional issue
and planning interventions that support growth in relation to the transitional
issue. This study shows that using the
awareness development construct to examine individual employees’ growth
regarding the transitional issue of workplace violence may serve as a practical
measure for organizational diagnosis; assessing the as-is condition amidst the
chaos and planning appropriate intervention strategies. Implications for theory and research are
discussed.
W. F. Lawless, Paine College
Sat 9:00-10:30 Session, Room
220
A Non-linear Quantum Model of
Organizations, Decision-making and Brain Waves
The major unsolved problem in social interaction theory is
the rational ability to distinguish an aggregation of individuals from a group
(Levine & Moreland, 1998), primarily from theory derived from individual
perspectives (Luce & Raiffa, 1967).
In contrast, the social quantum model (SQM; from Bohr) has made progress
with a non-linear mathematical model of the conjugate factors of action and
observation uncertainty for entangled agents (Lawless et al., 2000). We have
made two extensions, to organization (Lawless & Chandrasekara, 2002) and
argument theory (Lawless & Schwartz, 2002). First, organizations grow when
recruits reduce their combined energy, E, into a joint ground state; bonding
increases between recruits and a leader as vocal frequencies converge
(resonance; or inversely, reactance); interaction success depends on its
cross-section; and the likelihood of an interaction varies inversely with the E
it requires (respectively, a well-trained recruit; close relationships;
movie-line queues; popular restaurants). Second, quantum-like square E wells
associate mathematically with emotion and decision-making (e.g., the optimum
solutions of ill-defined problems occur when incommensurable beliefs
interacting before neutral decision makers generate sufficient emotion to
process information, I, but insufficient to impair the interaction; in Lawless,
2001). We speculate that interaction cross-sections are related to brain waves:
if gamma waves (≈ 40 Hz) bind sensory features into mental objects (Engel
et al., 1999) and concepts (Lawless & Chandrasekara, 2002), transitions
between opposing views in an argument reflect the time to apply difficult
concepts to problems, linking solution “detection” to signal detection theory
(e.g., Luce, 1997). Thanks to J.A.
Ballas ITD, NRL, Washington, DC, where most of this research was conducted with
funds from ONR through an ASEE grant.
Engel, A. et al. (1999). Consciousness and Cognition, 8(2),
128-151.
Lawless, W.F. (2001), 73-78, Proc. AAAI Fall.
Lawless, W.F. et al. (2000), in Tessier et al., Conflicting
agents, 279-302, Kluwer.
Lawless, W.F. & Castelao, T. (2001), IEEE Techn. Soc.,
20(2), 6-17.
Lawless, W. F., & Chandrasekara, R. (2002). Proc. AAAI
Fall, pp. 26-31.
Lawless, W. F., & Schwartz, M. (2002). Social Science
Computer Review (Sage) 20(4), 441-450.
Levine, J.M. &
Moreland, R.L. (1998), Small groups, In Gilbert et al., Hdbk Soc Psych,
415-469, McGraw.
Luce, R. D., & Raiffa, H. (1967). Wiley.
Luce, R. D. (1997). J Math Psychology 41: 79-87.
Ivelisse Lazzarini, School of Allied Health Professions,
University of Saint Louis
Sat 18:15 Poster Session,
Outside Rooms 426-430
Nonlinear Dynamics of Occupation: A
Case in Point
In this presentation we will discuss a case study from the
perspective of nonlinear dynamics as it pertains to the practice of
occupational therapy in an acute care psychiatric setting. Through a conceptual framework of brain
dynamics, treatment interventions will be described and explained to elucidate
the complexity of self-organized systems.
Marc D. Lewis,
Program in Developmental Science, University of
Toronto, http://home.oise.utoronto.ca/~mlewis/
Jim Stieben,
Program in Developmental Science, University of
Toronto
Sun 11:30-12:30 Session, Room
208
Emergent Emotional Appraisals: Theory and Data from Psychology and
Neuroscience
One of the principal aims of emotion theory is to model the
relations between appraisals (cognitive or perceptual evaluations) and the
emotions with which they correspond.
However, the cognitivist approach portrays appraisals as causal
antecedents of emotions in a oneway progression--ignoring the possibility of
reciprocal and multiple causation. For
several years the first author has been modeling appraisal-emotion relations as
self-organizing gestalts emerging out of reciprocal and recursive interactions
among cognitive, perceptual, and motivational constituents. However, this work
has remained abstract and lacking in precision.
In this
paper, we show how many of the basic assumptions of functional neurobiology
support a view of emotional appraisal as self-organizing in real time, and
these assumptions can help move us toward a more detailed model. Panksepp, Tucker, Freeman and others view
emotion-cognition states as spontaneous synchronization between cortical and
subcortical systems. We model attention-emotion synchronization as
"vertical integration" across levels of the neural hierarchy. Motivational
agendas mediated by lower structures entrain cortical processes of perception
and cognition, while these in turn regulate and constrain more primitive
motivational activities. Hypothetically, feedback among interconnected systems
at each of these levels allows the entire brain to converge to an attractor
rapidly in real time, while neuromodulator release and synaptic adjustments
help maintain this attractor and strengthen it across occasions.
To begin
to flesh out these ideas with current EEG/ERP methods, we demonstrate the
existence of brief epochs of frontal-cortical coherence at the theta frequency
associated with limbic activation.
128-channel data analyzed with a new source localization package will be
presented. Bouts of coherence can be seen when subjects become aware that they
have made an error, suggesting an emerging appraisal of vigilant concern
potentially linked with anxiety.
Larry Liebovitch, , Center for Complex
Systems and Brain Sciences, Center for Molecular Biology and Biotechnology, Department
of Psychology, Department of Biomedical Science, Florida Atlantic University, http://www.ccs.fau.edu/~liebovitch/larry.html
Fri 13:30-17:30 Workshop,
Room 220
Introduction To Fractals And Chaos
See Workshop
Descriptions
Larry S. Liebovitch, Center for Complex Systems and Brain
Sciences, Center for Molecular Biology and Biotechnology, Department of
Psychology, Department of Biomedical Science, Florida Atlantic University,
http://www.ccs.fau.edu/~liebovitch/larry.html
Viktor K. Jirsa, Center
for Complex Systems and Brain Sciences, Department of Physics, Florida Atlantic
University, http://www.ccs.fau.edu/~jirsa/
Lina A. Shehadeh, Center
for Complex Systems and Brain Sciences, Department of Physics, Florida Atlantic
University
Sun 9:30-11:00 Session, Room
208
Determining the Network
of Genetic Regulation from cDNA Microarrays
Genes form a complex network of interactions. Protein transcription factors from some genes
bind to and regulate the expression of other genes. Until now, determining these networks of
genetic regulation has required multiple experiments that correlate the
expression of genes under different experimental conditions. We show that it is possible to determine some
properties of the network of genetic regulation from the mRNA levels of a
single experiment. The mRNA levels
depend, in part, on the net interactions between all the genes. We show here that different networks of
genetic regulation produce different statistics of mRNA levels, as measured by
the number of genes PDF(x) expressing amounts of mRNA between x and x+dx. This makes it possible to determine some
information about the network of genetic regulation from the statistics of mRNA
levels measured in a single cDNA microarray experiment. These results may provide: 1) a new method to
analyze the tremendous amount of data from cDNA microarray experiments, and 2)
a screening assay to identify the systems or sub-systems of genes that will be
most productive to study by the traditional methods and the best ones for
therapeutic intervention.
Curt Lindberg, Plexus Institute, www.PlexusInstitute.org
Sun 9:30-11:00 Session, Room
224
Too Beautiful: A Story of Complexity,
a Family and End-of-life Care
This is a story about how my family used concepts inspired by
complexity science to inform how we worked to make the last days of my father
comfortable, free of pain, and full with dignity, meaning, and love. Using such
complexity ideas as self-organization, nonlinearity, information flow and
feedback, diversity of agents, and simple rules, my brothers, sister and I
created several organizing principles to guide our efforts.
They
included: honor the guidance Mom and Dad had provided us; stay in touch and
share lots of information; use the wisdom and diverse skills and insights in
the family; take baby steps, see how they work and adjust quickly; and provide
whatever stability and certainty we could. Together we helped our father
experience a "good death", an experience full of little miracles.
"I am leaving under the circumstances everyone wishes for," he told
us as he passed away
Patricia A. Lipscomb,
Clinical Professor, University of Washington
School of Medicine
Sun 14:00-15:30 Session, Room
220
Strange Bedfellows: Frequently
Confused Concepts in Interdisciplinary Writing on Nonlinear Dynamics
To paraphrase Shakespeare, nonlinear dynamics acquaints us
with strange bedfellows, i.e., concepts pairs that so frequently appear
hand-in-hand in interdisciplinary writing that nonmathematical readers may
mistakenly infer that they are inseparable. Such pairs tend to take one of two
forms. In one, the members of the pair are related but distinct concepts from
nonlinear dynamics (e.g., fractal/self-similar and theoretical/real-life
chaos). In the other form considered here, one member represents a concept from
nonlinear dynamics but the other (sometimes a homograph of the first) is linked
to it not by mathematical considerations but by verbal association or a
plain-language reading (e.g., dynamic/dynamic and iteration/recurrence). The
present discussion begins by addressing the central importance in mathematical
communication of fine distinctions between related mathematical concepts (which
entails a necessary distinction between the mathematical and vernacular meanings
of most mathematical terms) and then distinguishes between the members of a
number of such potentially confusing concept pairs. The goal is to offer
nonmathematical readers a means of grasping these concepts more clearly and to
encourage authors writing to a broad interdisciplinary readership to anticipate
and avert misunderstanding of frequently confused concepts by making
distinctions explicitly clear.
Yeou-Teh Liu, Department of Physical Education, Taiwan Normal
University
Gottfried Mayer-Kress, Department of Kinesiology, The Pennsylvania State University, http://www.personal.psu.edu/faculty/g/x/gxm21/
Karl M. Newell, Department
of Kinesiology, The Pennsylvania State University
Sat 18:15 Poster Session,
Outside Rooms 426-430
Qualitative and Quantitative Change
in Motor Learning
The experiment examined the qualitative and quantitative
change in the dynamics of learning a novel motor skill (roller ball task) as a
function of the manipulation of a control parameter (initial ball speed). The focus
was on a dynamical systems analysis of the relation between the rates of change
in performance over practice time and the changing time scales of the evolving
attractor dynamic in wrist coordination space. The results showed 3 different
learning patterns to the changes in the dynamics as a function of practice that
were mediated by the initial ball speed. Only the participants that learned the
task showed a bifurcation in coordination mode that was preceded by enhanced
performance variability. We claim that the bifurcation is of rep saddle-node
type which would also imply the testable prediction of hysteresis that will be
tested in future experiments. The observed multiple time scales to motor
learning are interpreted as the products of the dynamical stability and
instability realized from: (1) the continually evolving landscape dynamics due
to bifurcations between attractor organization; and (2) the transient phenomena
associated with moving toward and away from fixed point dynamics.
Thomas E. Malloy,
Department of Psychology, University of Utah
Carmen Bostic St. Clair, Quantum
Leap
John Grinder, Quantum
Leap
Sun 14:00-15:30 Session, Room
220
Steps Toward an Ecology of Emergence
In terms of Bateson’s Ecology of Mind framework, and given
that emergence is a human mental construct (which great promise of useful
application to the world), we may ask into what sort of mental ecology of ideas
might emergence fit? Most, if not all,
examples of emergence are construed as hierarchies of levels (cell, tissue,
organ). How does emergence fit other
human constructs addressing the nature of hierarchies? Inheritability and constriction define
Logical Hierarchies—“duck” inherits all the qualities of “bird;” moreover,
“duck” is a more constricted set (that is, it has a smaller number of elements)
than does “bird.” In contrast, for
Part-Whole hierarchies (say a ship composed of many parts) the parts do not
necessarily inherit the qualities of the whole (a ship floats while a rivet
sinks) and the set of parts is not necessarily a smaller, more constricted set
than the whole (there may be many rivets in a single ship). Elements of sets and parts of wholes connote
“thingness,” whereas we will define emergence in terms of processes within
complex dynamic systems. Parallel to
Part-Whole hierarchies (a ship has properties that its parts do not have),
Emergent Hierarchies will be defined in terms of coupled sub-processes whose
interactions generate a higher-order process that has properties that do not
exist within the lower level processes.
This definition will be related to Goldstein’s notion that emergence is
characterized by radical novelty and confoundedness among levels and will be
accompanied by examples from a dynamic systems simulation.
Thomas E. Malloy,
Department of Psychology, University of Utah
Gary C. Jensen, Department
of Psychology, University of Utah
Tim Song,
School of Computing, University of Utah,
Sat 11:00-12:30 Session, Room
208
Perceiving Visual Pattern in a
Dynamic Universe
How do humans perceive shape and extract pattern from a
complex, dynamic universe? Aside from
ecological optics, classical vision science theories tend to be based on static
stimuli (e.g., line drawings, random shapes, 2- and 3-D computer graphics,
photos). We will demonstrate how a
simple dynamic systems simulation can generate visual stimulation that is
dynamic not static and that has complex pattern structure. Assuming that perception routinely deals with
such visual inputs, we propose a theoretical mechanism that capitalizes on
dynamics by making apparent motion a key to pattern perception. Visual demonstrations will show clearly how
human apparent motion perception can extract in real time the basin structure,
sub-basin structure, and even static shapes and other features from a system
that is nonlinearly dynamic. Apparent
motion phenomena are typically construed as illusions that have enabled the
perception of movies and video. Perhaps
they are more; surely the ability to perceive apparent motion did not evolve
simply so we could watch movies and video.
Rather, the ability to perceive apparent motion just might allow an
organism to extract stable pattern from dynamic systems. This last point represents a departure from
previous vision science approaches and offers a new theoretical toehold in
shape perception.
Terry Marks-Tarlow, Clinical
Psychologist, Private Practice
Stephen Oyer-Owens, Humanities
Concentration, University of Phoenix
Dick Bird, Division
of Psychology, Northumbria University,
http://psychology.unn.ac.uk/dick/
Sun 14:00-15:30 Session, Room 208
The Experience of Hyperdimensionality
The hyperdimensional experience (HDE) may be defined as a
psychological awareness of a dimension beyond that experienced previously, or
normally and in everyday life. Sometimes
the HDE is unexpected or fleeting, the result of a drug, temporary
circumstances or a physiological state e.g. illness. Sometimes it is sought as
an abiding frame of mind by means of a program of training, religious
discipline or meditation, or as a successful outcome of psychotherapy.
By its
nature the experience of hyperdimensionality means the sense of a further or
higher dimension in perception, thought and feeling. As such it may be
distinguished from other altered states of consciousness (ASCs), which may be
positive, negative or even pathological in their effect. As distinct from ASCs in general, the HDE is
felt as a liberating, expansive or life-changing experience. Often it is linked with intellectual and/or
emotional insights, which again may either be evanescent or may be capable of
subsequent articulation and elaboration in a productive sense.
In this symposium three speakers of very different outlooks
and cultural backgrounds give their views on the significance of the HDE at a personal,
societal and theoretical level. Personally, there is a need for transcendence
of and liberation from the alienation of modern civilization. Societally, we need a mode of conflict
resolution for some of the most intractable problems facing the world in the
21st Century. Theoretically, a psychophysiological explanation of HDEs is
required. The idea is explored that the understanding and cultivation of HDEs
as a normal part of society may be a vital factor in the future personal social
and religious evolution of humankind.
PAPER ONE
Experiencing in
Hyper-dimensions: Model for a New World Paradigm
Stephen Oyer-Owens Ph D,Humanities Concentration,
University of Phoenix
This paper proposes that we stand at the threshold of a new
world paradigm for contemporary Western culture. The paradigm arises from our potential
ability to experience in hyper-dimensions.
Such a perspective can enable us to address fundamental societal and personal
challenges in a new way, lay the groundwork for a new synthesis of the
sciences, and provide new understanding of the nature of mysticism and its
relationship to the sciences and daily life.
I will
relate my own encounters with hyper-dimensional experience as it has arisen from
my involvement in Lakota (Sioux Indian) ritual.
My involvement has been based on several years' participation in the
ceremonies of the Sweat Lodge, the Sun Dance, and Crying for a Vision. These experiences have resulted in multiple
visionary encounters and a radical sense of unity between self and reality that
is hyper-dimensional in structure.
This
kind of hyper-dimensionality has been experienced by mystics and shamans for
perhaps thousands of years, and may constitute the core transformation of self
and being proposed by many of the
world's great spiritual traditions. Such
hyper-dimensionality is characterized by the marriage of contradictions in
concepts, emotions, and other phenomena which seem impossible to reconcile in
the linear thinking of daily life. This
hyper-dimensionality also makes possible an intimate marriage between self and
other. The resulting unities arise in a
"place" which is "in between" the disparates, providing a
hyper-dimension previously invisible to perception. The new perspective can be represented in a
hyper-dimensional loop, bearing similarities to chaos theory and the geometry
of fractals. In turn, the marriage of
all such unities in hyper-dimensional loops can be depicted as a Nexus Point, a
powerful and holographic-like center which enfolds the whole of creation.
Experiencing
in hyper-dimensions can make possible new solutions to diverse conundrums such
as the continuing occurrence of warfare in human cultures and the degradation
of our planet's environment. It can provide new pathways for individual
psychological growth and lay the groundwork for a hyper-dimensional psychology,
based on a dynamic encounter with wholeness. These explorations can also lead
to a new understanding of our relationship with the universe, providing new
meaning to the nature of human life.
PAPER TWO
The Hyperdimensional
Experience of Psychotherapy
Terry Marks-Tarlow, Ph.D., Clinical Psychologist in Private Practice
When
psychotherapy proves most successful, the hyperdimensional experience (HDE)
occurs as the desired outcome of longterm, depth work. Here patients gain the
capacity to sink beneath everyday surface events to the very origins of their
consciousness. In this zone of expanded awareness, the external events of life
are seen as meeting and fitting the internal contours of psyche like hand and
glove. This eliminates all clear distinctions between inside/outside,
self/other, mind/matter, and grants a wholeness to experience, a sense of "rightness" about how character and
destiny intersect, even when this fit appears perfectly horrific. This paper
links HDEs theoretically with Spencer-Brown's calculus of first distinctions. A
state of "primordial confusion" is proposed to lie at the base of
consciousness that can be modeled via re-entry dynamics by fractal boundaries
between psyche and world. Within this paradoxical state, boundaries are
simultaneously opened and closed, and opposites are equated.
This is
the stuff either of madness or of higher consciousness, depending upon the strength
of the therapeutic container along with the patients observing ego.
PAPER THREE
A Theoretical Basis For
the Experience of Hyperdimensionality
Dick Bird PhD,
Division of Psychology, Northumbria University
The
experience of hyperdimensionality (the Hyperdimensional Experience or HDE,
otherwise known as the Oceanic experience, the Numinous, Unity of Opposites
etc.) has specific condition of induction. occurrence, predisposition, and very
specific consequences for the world view of the experiencer. Those who undergo HDEs typically emerge from
them transformed in a variety of ways, personally, philosophically and
morally. Like the Square in E A Abbott's
"romance of many dimensions" Flatland, we return to our everyday
world with a new vision of something which lies beyond.
Here I discuss the possible basis for this experience of a
higher dimension in terms of the processes of iteration and recursion. In our everyday lives we iterate, performing
the same or slightly modified operations, but not perceiving them as located in
time. When we enter a recursive viewpoint (the experience of the
hyperdimensional) we can newly see the whole of our life and the lives of
others from the outside as located in time.
We also have an enhanced potential for the reconciliation of opposing
viewpoints as aspects of a unified whole. This expanded perception typically
remains even in the absence of the HDE itself.
A
descriptive mathematical basis of HDEs is offered in terms of iteration theory
and the Boolean arithmetic of Spencer-Brown and a possible basis in brain
function for the HDE is suggested in terms of the self-monitoring of the
refresh-rate of thalamo-cortical loops, possibly sustained by quantum-collapse
events. The ontological viewpoint most compatible with this data is a monist
idealism and the consequences of this are explored.
Terry Marks-Tarlow, Clinical
Psychologist, Private Practice
Sun 16:00-17:00 Session, Room
208
Slouching Towards a New Paradigm
SCTPLS has been in existence for thirteen years. With the butterfly
effect the central metaphor of the new sciences, most of us expected a broad
sea change to rapidly propagate through the field of psychology. Yet this has
failed to happen. This paper addresses the social politics of why this may be
the case and how we can address the problem.
Gottfried Mayer-Kress, Department of Kinesiology, Penn State
University, http://www.personal.psu.edu/faculty/g/x/gxm21/
Holly Arrow, Psychology
& Institute for Cognitive and Decision Sciences, University of Oregon,
http://darkwing.uoregon.edu/~harrow/
Sun 9:30-11:00 Session, Room 224
Time-Scales of Virtual and Real
Conferences as Binding Events in a Global Brain
The history of conferences is probably at least as long as
that of modern civilizations and they certainly played an essential role in
their evolution. In spite of thousands of years of technological progress very
little has changed in the actual procedure and format: Participants gather at a
common physical locations and listen to each others’ aural presentations,
sometimes accompanied by more or less illustrative visuals or demos.
The
advent of telecommunications and the Internet triggered the emergence of
conferences that take place in virtual spaces but their success has been
limited mainly due to the lack of direct face-to-face interactions. Here we
discuss some issues related to time-scales and how they interact with the
number of participants. We claim that efficient integration of virtual and
traditional conferences will be essential in a continued role of conferences as
cultural “binding events” in what has become to be known as “Global Brain”.
These are seen in analogy of cognitive binding events in biological brains that
are essential for feature integration. We present data from conference web-casts
hosted by Complexity Digest, a weekly electronic newsletter that also web-casts
conference presentations and summaries. Preliminary results suggest that
typical time-scales of conference web-casts are of the order of one week
compared to a few hundred milliseconds of human brains.
Mary Ann Metzger,
Psychology Department, UMBC (Emerita), http://www.research.umbc.edu/~metzger/
Dick Bird, Division
of Psychology, Northumbria University, http://psychology.unn.ac.uk/dick/
Fri 8:30-12:30 Workshop, Room
220
Drawing Conclusions From Time Series
See Workshop
Descriptions.
Daniel W. Miller,
Consciousness Studies, Greenwich University, www.danielwmiller.net
Sat 11:00-12:30 Session, Room 224
The Web and the Cloth: Science,
Consciousness and Homeodynamics - What
They Are and What They Do
The systems model for homeodynamics is drawn from the work of
Bertalanffy, Kauffman and Capra, among others who have argued in favor of
Systems, Chaos and Complexity theories. Homeodynamics is the driving force
behind psychological and physical systemic interactions that serves to optimize
relationships for the sake of each system's survival. It enters into the realm
of the sciences through astronomy, physics, biology and evolution, and into
phenomenology and psychology through psychotherapy and neuropsychology.
Conflicted scientific and phenomenological research can be bridged when we
understand that the operation of consciousness takes its many diverse forms
because it is used as a tool of research that formulates observations appropriate
to the needs of each field of investigation.
In the
life sciences, Homeodynamics, implementing its survival mandate through the
agency of consciousness, provides a common baseline for the unification of mind
and body. This has important consequences for the perception and treatment of
mental and physical illness, for which a Range of Homeodynamic Efficiency (RHE)
is formulated. This range is applied to the activity of consciousness in
integrating the mind-body relationship such that mental and physical health can
be evaluated on a continuum of stress and optimal homeodynamic functioning.
This systematization effectively defragments the piecemeal categorizations
within mental and physical illness. Society and the ecology can also be
evaluated in terms of implications derived from the homeodynamic process.
Susan Mirow,
University of Utah School of Medicine
Robert J. Porter, Directions
for Mental Health, Clearwater, Florida, www.mindspring.com/~rjporter
Sat 14:00-15:30 Session, Room
224
Psychophysiological Measures of Variability in Heart-Rate and Activity in At-
Risk Youth After Psychomotor Treatment
At-risk youth who engage in violent and antisocial behaviors
can show either an over-reactive or an under-reactive physiological pattern in
response to stress. Those youth who have
histories of childhood neglect tend to be the under-reactive (“predators”),
while those youth who have childhood histories of abuse (“posttraumatic
stress”) tend to be over-reactive. We
reasoned that these patterns might be seen in a sample of at-risk youth and
that changes in physiological parameters might be observed following
interventions designed to address the sequelae of neglect and abuse, i.e.,
difficulties with affect regulation and arousal. We present the results of a project
investigating this hypothesis in a group of incarcerated male youth, ages 15 to
19. Subjects wore portable heart-rate
(Rozzin ® Holter monitor) and activity measuring devices (actigraph: Motionlogger ®) for 24-hour periods before
and after a six-week treatment program of specially-designed, group therapy
addressing psychomotor reactivity and affect regulation. In addition, both line-staff and subjects
completed pre-printed computer forms rating subject’s behaviors and mood
variables. Data analysis techniques
were designed to reveal nonlinear dynamical processes involved in the psychophysiological mechanisms regulating
affect and arousal. We present an
overview of psychomotor group treatment as well as the results for the first
group of six youth who competed the project. (Research supported, in part, by
Copperton Place and the Cumming Foundation.)
Olga Mitina, Department of
Psychology, Moscow State University
Sun 14:00-15:30 Session, Room
224
Using Structural Equation Modeling
for Nonlinear Dynamic System Theory
Structural Equation Modeling (SEM) is a collection of
statistical techniques that allow to examinations between variables in social
science and psychology. But as usual researchers use these techniques for usual
statistics model (linear, one-to-one correspondence and so on). Meantime SEM
could be very useful for analyzing data coming from nonlinear dynamic system
models. For example SEM allows to analyze time-series process, nonlinear
regression models, multilevel models. Applications of SEM are very adequate in
social science, when we can’t perform a lot of measurements what we really need
to use traditional NDS methods which come from the physics, biology and so on.
Usually researchers use SEM for linear analysis and just ignore “nonlinear”
options. In the paper we are going to present some relevant to NDS SEM methods
and ideas and also to demonstrate some examples.
Kathleen Moffett-Durrett, Kent School of Social
Work, University of Louisville
Sat 18:15 Poster Session, Outside
Rooms 426-430
The Introduction of a Systems
Perspective to Child Welfare Workers: A Preliminary View
Kentucky has moved from traditional services perspectives to
considerations which include analyzing client systems and using client directed
team work aimed towards resolution of problems resulting in child
maltreatment. Direct service workers are
being asked to make a radical change in perspective which involves being able
to form judgments utilizing a "systems lens." My work involves looking at language and
behavior changes among workers for indicators that new perspectives are being assimilated into their
practice.
Shapour Mohammadi, Economics, University of Tehran
Hossein AbbasiNejad, Econometrics, University of Tehran
Sat 18:15 Poster Session,
Outside Rooms 426-430
Application of Factor Analysis in
Catastrophe Theory
We report results of one-year study of the role of the factor
and the cluster analysis in selection of proper proxy for control variables in
catastrophe models. Application of factor rotation in construction and
interpretation of control variables, is of our main interests too. Our study
suggest that this method can be helpful in finding the minimum change of
socioeconomic variables for a jumping taking place in the related system.
Unobservable control variables can be extracted using cluster and factor
analysis. The practical considerations will be done in the analysis of
macroeconomic time series of Iran economy.
Jo Alyson Parker,
Department of English, Saint Joseph's
University, http://www.sju.edu/~jparker/
Sat 14:00-15:30 Session, Room 220
Narrating the Workings of Memory:
Iteration, the Iterative, and the Paradox of
Proust's "Temps Perdu"
This paper comes out of a larger study wherein I explore how
the insights provided us by chaos science enable us to look anew at narrative
structuration and meaning, especially with regard to temporally
"chaotic" texts. Here I
explore Marcel Proust's achievement of what I call "bounded
randomness" through his use of the iterative mode of narrative
frequency. Drawing on Paul Ricoeur's
description of the "dynamic of emplotment," I argue for the appropriateness of the analogy between
narrative structuration and the complex systems investigated by
dynamicists. I then discuss the analogy
between iteration and the iterative, a predominant mode in Swann's Way. Because of computer simulation, dynamicists
have been able to perform the innumerable mathematical iterations that allowed
them to discern deterministic chaos-to see a global pattern, such as the
strange attractor, emerging from local randomness. Similarly, the iterative mode involves
synthesizing related events-in effect, creating a global pattern from the
various local random fluctuations that occur. Turning to Swann's Way, I argue
that Proust gives us only the emergent structure of the narrator's childhood
daily walks-walks that are globally determined but subject to local randomness.
Out of the iterations of many daily walks, an emergent structure takes shape, and
the narrator's synthesizing memory can thereby evoke the reality of a time once
lost. By examining Proust's iterative
through the lens of chaos science, we can better apprehend his insights about
how the random events of our lives achieve meaning through the synthesizing
power of memory.
Annemarie Peltzer-Karpf, Department of Language Development,
Graz University
Manuela Wagner, Dept.
of Language Development, Graz University; Harvard Graduate School of Education
Sat 18:15 Poster Session,
Outside Rooms 426-430
The Chaotic Itinerary to the First
Language in Ordinary and Exceptional Circumstances
This paper features temporal asynchrony in system
development. In order to come to terms with protracted phase-shifts and
retarded development a model developed for the dynamic assessment in normal
children is adapted to the special exigencies of children with sensory, cognitive and linguistic problems (range 1;6
- 3;1). The non-linear approach proposed unites developmental cognitive
neuroscience and dynamic systems
theory. We start from the assumption that maturational
factors and experience play complementary roles in forming specialized systems
which display different degrees of experience-dependent modification and
operate at different time scales. The chaotic itinerary to language reads as
follows: (1) the initial pseudo-stable state exhibits a transition from
holistic to gradual analytic decoding; linguistic behaviour is dominated by the
search for coherence expressed in memorized (non-analysed) chunks and restricted
variation, (2) the intermediate stages are characterized by the extraction of
rules alongside with the (re-) modelling of neural connections, the
reorganization into different clusters and the onset of system-specific
phase-shifts (heralded by over-productivity and fluctuations), (3) the final
steady state shows coherent clusters and uniform patterns with large internal
coupling strength and stability. The
framework used allows for the spotting of system-specific growth curves,
facilitates reliable prognoses concerning the child's cognitive and linguistic
future and serves as a vital toehold in the onset of efficient
intervention programmes.
Robert J. Porter,
Directions for Mental Health, Clearwater,
Florida, www.mindspring.com/~rjporter
Susan Mirow, University
of Utah School of Medicine
Sun 9:30-11:00 Session, Room
208
Temporal Scales and Order Parameters
of Heart Rate Variability
Nonlinear systems generate temporal structure at every level
of biological organization, from the dynamics of molecular reactions in cells,
to that of societies of brains. One
commonly studied bio-temporal structure is heart rate variability. Heart rate variability is organized at many
temporal levels, from the millisecond structures of spreading heart muscle
excitation to the seconds or minutes of adaptation involved in CNS-mediated
cardiac responses to changes in blood chemistry or posture. This short-term temporal structure of heart
rate variability has been examined in a number of different ways, including
spectral analysis, wavelet decomposition, and graphical analysis
procedures. We will review some of these
analyses, with special emphasis on ways that nonlinear biological processes
generate temporal structure linked to possible cardiopulmonary system order
parameters. We will also present new
data showing how analysis of heart rate variability on the macro temporal scale
(that is, minutes or hours) may reveal how nonlinear biological processes
generate temporal structure tied to order parameters of the psychobiological
system. Our analyses suggest that the
temporal structure of biological processes such as heart rate variability may
span a wide dynamic range and may provide, therefore, an ideal system for
simultaneously observing order (and disorder) in biological processes across
levels of organization. (Supported in
part by Copperton Place and Cumming Foundation).
Michael A. Radin,
Department of Mathematics & Statistics,
Rochester Institute of Technology
Sun 9:30-11:00 Session, Room
208
Applications of Difference Equations
in Mathematical Biology
We will examine several difference equations as epidemic
models, grass growth models, and population models. In particular, we will
discover how the long-term dynamics of the solutions depend on the relationship
of the coefficients and not on the initial conditions. Also, time permitting,
we will also examine how the delays of some of these equations affects the
long-term bahavior of the solutions.
Hector Sabelli, Chicago Center for
Creative Development, http://creativebios.com/
Arthur Sugerman, Chicago
Center for Creative Development
Lazar Kovacevic, Chicago
Center for Creative Development
Louis Kauffman, University
of Illinois at Chicago, www.math.uic.edu/~kauffman
Sat 14:00-15:30 Session, Room
208
Bios, Bios Data Analyzer and the
Biotic Features of Galactic Evolution, DNA Sequences and Heart Rate Variation
Our research program is developing a science of creative
processes by (1) identifying the defining features of creative phenomena in
empirical processes; (2) developing methods to measure them in time series; (3)
formulating mathematical models; and (4) experimenting with these models to
identify their essential features in order to generate strategies to promote
creative human behavior. In this symposium, we shall describe new time series
analyses that measure the defining features of creative processes:
diversification [Sabelli and Abouzeid, NDPLS 7: 35-47, 2003], novelty [Sabelli,
NDPLS. 5: 89-113, 2001], and nonrandom complexity [Sabelli, Systems Analysis
Modeling Simulation 42: 395-403, 2003].
To
reveal simple and complex patterns in creative processes, the Bios Data
Analyzer constructs vectors of 1, 2,.., N consecutive terms of the time series
as well as differences between consecutive terms, differences of differences,
etc., up to the tenth difference, and computes statistical, dynamic and
recurrence measures for each of these series.
Changes in variance with embedding demonstrate diversification in biotic
and stochastic series but not in stationary chaos. Plots of recurrence of isometric vectors as a
function of vector duration differentiate order from creative
organization. Consecutive isometry
reveals causal or periodic order, and distinguishes chaos and bios from
stochastic noise. Novelty and arrangement
(nonrandom complexity) at high embeddings define creative phenomena generated
by bios and stochastic noise. Embedding plots thus differentiate three types of
aperiodic series: chaotic (low dimensional order and high dimensional
randomness), stochastic (low dimensional randomness and high dimensional
novelty and arrangement), and biotic (low dimensional order and high
dimensional novelty and arrangement).
Biotic
features are evident in diverse processes: physical (galactic distribution
between 100 and 400 megaparsecs, atmospheric temperature), biological (heart
rate variation, respiration, some DNA base sequences), and economic (prices of
some commodities, exchange rates, some economic indicators).
Biotic
patterns are generated by a number of nonlinear equations previously described
[Chirikov and others] and investigated as a model for deterministic
diffusion. We regard bios as
paradigmatic of creative processes [Kauffman and Sabelli, Cybernetics and Systems
29: 345-362, 1998] and identify the process that generates it as a dialectic
interaction of opposites and more specifically as bipolar feedback. Bios is defined as a deterministic process
that generates episodic patterns, diversification, asymmetry, novelty, and
nonrandom complexity. Bios is also characterized by irreversibility, lower
entropy and greater continuity, asymmetry and sensitivity to initial conditions
than chaos. Bios represents determined creation, stochastic noise random
creation, and chaos “determined randomness.”
The demonstration of biotic features in fundamental structures supports
the notion that bios and bipolar feedback may be major contributors to natural
creative processes currently attributed to chaotic and stochastic
processes. This indicates that
creativity can be fostered by the interaction of opposites and diminished by
one-sidedness.
Francois G. Schmitt,
CNRS, Wimereux Marine Station,UMR ELICO,
L. Seuront,
CNRS, Wimereux Marine Station, UMR ELICO
S. Souissi,
University of Lille 1, Wimereux Marine Station,
UMR ELICO
Sat 11:00-12:30 Session, Room
220
Marine Ecosystem Complexity: Scaling
and Nonlinear Variability in Plankton Dynamics
The question of scale is critical for marine ecosystem
studies. Approaches that deny such a basic point have no way to perform a transfer
of scales, in both downscaling and upscaling contexts. Contrary to terrestrial
ecosystems, in the oceans the primary production is performed by unicellular
organisms called phytoplankton. The population dynamics of numerous and diverse
planktonic organisms consequently occur at small scales. From the recent
emerging question of the transfer of scales one can mention the understanding
of the microscale nature of plankton behaviour and dynamics, and the subsequent
effects of microscale variability on large scale processes, such as global
biogeochemical fluxes. We study here plankton variability as multiscale
patterns, and consider their structure as an adaptation to their highly
intermittent turbulent environment. We first specifically consider phytoplankton
concentration data and compare it to passive scalar turbulence. Then we focus
on the feeding behaviour of small planktonic crustacean using new
cinematographic techniques allowing to record 2D and 3D trajectories in
different experimental conditions. These datasets are analysed within the
framework of multifractal anomalous diffusion. After characterising these
patterns we develop individual-based models (IBMs) based on multi-agent systems
and other artificial intelligence techniques. These simulations allowed to
demonstrate how relatively simple behavioural rules may give rise to complex
collective patterns. Finally the role of both experimental and numerical
approaches in studying the complexity of plankton dynamics is discussed.
David Schuldberg, Department of
Psychology, The University of Montana, http://psychweb.psy.umt.edu/faculty/schuldberg/schuldberg.html
Jennifer A. Waltz, Department
of Psychology, The University of Montana, psychweb.psy.umt.edu/faculty/waltz/waltz.html
Sun 9:30-11:00 Session, Room
220
Dynamic Correlates of "Emotional
Numbing"
The symptoms and experiences of emotional avoidance, lack of
emotional expressivity, or “emotional numbing” are central in descriptions of
Post-traumatic Stress Disorder (PTSD). The current study builds on previous
work on the statistical relationships between chaos, complexity, and
information indices -- derived from near-instantaneous emotion ratings -- and
measures of depression and anhedonia. It examines numbing in the context of
momentary joystick ratings made by participants who were watching their partner
in a videotaped discussion. Dynamic indices derived from these time series are
related to measures of numbing both internal and external to the videotape
rating procedure. The participants are approximately thirty female survivors of
Child Sexual Abuse who participated in a study of couples relationships. The
participants watched a split-screen image of their partner videotaped while
self and partner were discussing a conflictual situation; they used a joystick
to make ongoing ratings (ranging from negative to neutral to positive) of how
they had been feeling during the taped session. The joystick procedure also
allowed participants to report a lack of emotion or numbing. Complexity indices
derived from the emotion ratings are related to measures of numbing from the
joystick procedure and also correlated with more macroscopic self-report
measures of PTSD symptomatology in order to identify dynamic correlates of the
experiences of emotional numbing, avoidance,
or distancing.
M. Spohn, Graduate School of
International Studies, University of Denver,
Sun 11:30-12:30 Session, Room
220
Is the Universe Winding Down, or Is
It Just Us?
A Philosophical and Mathematical
Challenge to Entropy
Entropy, the Second Law of Thermodynamics, points to the
unfolding of time and events as being linear and irreversible. As far as we know, entropy will continue
increasing, consistently and unidirectionally, until the universe is simply a
uniform puddle of radiation. There are
several potential challenges to its linearity and reversibility, however, from
behavior of particles at the quantum level to human perception, by necessity
the inventor of linearly-experienced time.
Further, proof of the behavior of the law of entropy in physics is
currently based on linear statistical probability. That is, while there is nothing in the basic
laws of physics that suggests that a broken teacup cannot spontaneously
reassemble and hop back up on a tabletop, the number of microscopic components
making up the macroscopic system of the teacup make such a reassembly
statistically unlikely. But this too is
a mere linear reversal of a specific linear action. If one chooses to use analytical tools other
than linear statistical probability, the rules change. This study challenges the notion of the
linear and unidirectional process of entropy and, by extension, the linear and
unidirectional experience of time.
H Eugene Stanley,
University Professor, Boston University, http://www.bu.edu/smec/stanley.html
Fri Evening Keynote, Room 208
Universality And Scale Invariance:
Organizing Principles That Transcend Disciplines
After a very short introduction to some of the more basic
unanswered questions in the field of complex systems, we consider the problem
of ``rare events''. At one time such rare events were considered ``statistical
outliers'' because they did not conform to known probability distribution
functions. Nowadays it is becoming widely appreciated that even extremely rare events
may not be ``outliers'' but rather may conform to newly-uncovered empirical
laws, such as the various power laws characterizing scale invariant phenomena.
Further, these laws appear to be ``universal'' in the sense that they hold
across a range of widely different phenomena, consistent with the intriguing
possibility that these phenomena have some underlying features in common.
We will
illustrate this feature by discussing a few examples drawn from the social
sciences, economics, and the physical sciences. For example, in economics, we
have demonstrated a power law distribution of returns with exponent 3, outside
the Levy-stable regime, which encompasses all economic fluctuations measured to
date, including data taking place in times of market crashes [1-4]. Another
example concerns social networks, encompassing sexual networks [5-6]. We
especially focus on a number of topics in threat networks (Al Qaeda) and
threatened networks (computer networks, and SARS-susceptible networks) [7].
We also
discuss how interdisciplinary ``social scientist/physical scientist''
collaborations are beginning to gain theoretical insight and understanding of
these new empirical laws using concepts drawn from both the social sciences and
the physical sciences.
The
economics research reported was done primarily in collaboration with Y. Aberg,
L. A. N. Amaral, L. Braunstein, S. V. Buldyrev, R. Cohen, C. Edling, X. Gabaix,
S. Havlin, P. Gopikrishnan, F. Liljeros, and V. Plerou. and has been supported
by ONR and NSF.
[1] R. N. Mantegna and H. E. Stanley, Introduction to
Econophysics: Correlations and Complexity in Finance (Cambridge University
Press, Cambridge, 2000).
[2] V. Plerou, P. Gopikrishnan, X. Gabaix, and H. E. Stanley,
``Quantifying Stock Price Response to Demand Fluctuations,'' Phys. Rev. E 66,
027104-1 -- 027104-4 (2002) cond-mat 0106657.
[3] V. Plerou, P. Gopikrishnan, and H. E. Stanley,
``Two-Phase Behaviour of Financial Markets,'' Nature 421, 130 (2003).
cond-mat/0111349.
[4] X. Gabaix, P. Gopikrishnan, V. Plerou, and H. E. Stanley,
``A Theory of Power-Law Distributions in Financial Market Fluctuations,''
Nature 423, 267--270 (2003).
[5] F. Liljeros, C. R. Edling, L. A. N. Amaral, H. E.
Stanley, and Y. Aberg, ``The Web of Human Sexual Contacts,'' Nature 411, 907--908
(2001) cond-mat/0106507.
[6] Fredrik Liljeros, Christofer R. Edling, H. Eugene
Stanley, Y. Aberg, Luis A. Nunes Amaral, Distributions of number of sexual
partnerships have power law decaying tails and finite variance,
http://arxiv.org/pdf/cond-mat/0305528
[7] Lidia A. Braunstein, Sergey V. Buldyrev, Reuven Cohen,
Shlomo Havlin, and H. Eugene Stanley, ``Optimal Paths in Disordered Complex
Networks.'' cond-mat/0305051
Richard Taylor,
Department of Physics, University of Oregon, http://materialscience.uoregon.edu/taylor/taylor.html
Branka Spehar, School
of Psychology, University of New South Wales, Sydney, Australia
Colin Clifford, School
of Psychology, Sydney University, Sydney, Australia
Ben Newell,
Department of Psychology, University College
London, London, UK
Sat 11:00-12:30 Session, Room
208
Perception Studies of the Visual
Complexity of Jackson Pollock's Dripped Fractals
Fractals have experienced considerable success in quantifying
the complex structure exhibited by many natural patterns and have captured the
imaginations of scientists and artists alike. Recently, we showed that the drip
patterns of the American abstract painter Jackson Pollock are fractal. In this paper, we describe visual perception
tests that investigate whether fractal images generated by mathematical,
natural and human processes possess a common, fundamental aesthetic quality.
Claudio Tebaldi,
Dipartimento di Matematica, Università degli
Studi di Lecce
Deborah Lacitignola, Dipartimento di Matematica, Università degli Studi di Lecce
Sun 16:00-17:00 Session, Room
220
Reduction Properties in Adaptive
Lotka-Volterra Systems with Symmetries
We study the properties of a n^2-dimensional Lotka-Volterra
system describing competition among n different species with adaptive skills,
i.e. whose interaction coefficients are time averages of the species level of
interaction over their past. Starting by the case of adaptive competition among
species having the same carrying
capacities and birth rate, we focus our attention on the model obtained on
perturbing the carrying capacity and/or the birth rate of a fixed species,
which is made more or less disadvantaged.
We prove the existence of a certain class of invariant subspaces and
introduce a seven-dimensional reduced model, where n appears as a parameter,
which gives full account of existence and stability of equilibria in the
system. The relevance of this reduced model to the complete one has also been
found when the time dependent regimes have been investigated. Ecologically
relevant questions, i.e. species survival and the time dependent behavior of
the system have also been analyzed focusing on the role of behavioral
adaptation.
Irina Trofimova, Collective Intelligence Laboratory, McMaster University, ira@ritchie.cas.mcmaster.ca
Diversity, Compatibility and Sociability in EVS
Modeling
Sat 11:00-12:30 Session, Room
220
Diversity,
compatibility and sociability could be considered as global factors affecting
the development of a system, as its interaction within the developmental stages
defines the specific of these stages. Establishment of interactions between
agents of a population on the basis of compatibility of their configurations is
associated with a first order phase transition (in clustering behaviour),
common in physical systems. Compatibility of interests in making a connection
makes a phase transition from a population of small clusters to an
all-unified population smooth. Absence of compatibility makes this
transition sharp. Diversity of agents and an ensemble architecture of
connections are beneficial for the survival of a natural system functioning in
a changing environment, while unification is beneficial in stable conditions.
Sociability is the major factor affecting clustering behaviour in a diverse
population. Diversity and compatibility have ways to control sociability, and
sociability has ways to control the diversity. Artificial holding of a
connection instead of compatibility condition delays the phase transition
in size of population and sociability conditions, but then makes the phase
transition very sharp. Stickiness of agents decreases the possibility of a 1st
order phase transition, but leads to a second order phase transition, common
for biological systems.
Keith Warren, The Ohio State
University College of Social Work
Dawn Anderson-Butcher, The Ohio State University College of Social Work
Gheorghe Craciun, The
Ohio State University Department of Mathematics
Sun 9:30-11:00 Session, Room
220
An Application of Network Dynamics to
the Aggressive Recess Behaviors of Elementary School Boys
Most aggressive behaviors among elementary school boys occur
during recess (Olweus, 1993), however we have little understanding of the
dynamics of the spread of aggressive behaviors.
Watts
(2002) derives a network model in which each individual undertakes an action
depending on the percentage of the individuals with whom s/he is connected who
have undertaken the action. We use this
to model peer interaction driven by observational learning. Because the Watts model yields a distribution
of numbers of actions per trial with a power law tail having a slope of -3/2,
it is empirically testable.
Aggressive
behaviors among boys were observed during the first and second halves of three
successive recess periods on eighty-three school days. Log/log plots of number of behaviors and
frequency of number for the two halves of the first recess period, that for
first and second graders, and for the total of the second and third recess
periods, those for the third and fourth and fifth and sixth graders, were
constructed.
All
log/log plots showed power law tails having slopes within two standard errors
of 3/2 (Slope = -1.58, SE = .18; Slope = -1.8, SE = .25; Slope = -1.3, SE =
.17; Slope = -1.69; SE = .272).
The
power law tails imply the importance of keeping aggressive behaviors beneath
the onset of the power law regime. The
apparent applicability of the Watts network model suggests the possibility of
exploiting network effects to block the spread of aggressive behaviors.
Olweus, D. (1993).
Bullying at school: What we know and what we can do. Cambridge, MA: Blackwell.
Watts, D. (2002). A
simple model of global cascades on random networks. Proceedings of the National Academy of
Science, 99(9), 5766-5771.
Ralph M. Waugh,
Clinical Psychology Program, School of
Psychology, The Fielding Graduate Institute
Sat 14:00-15:30 Session, Room
224
A Self-Reflexive, Holographic
Nonlinear Dynamical Systems Process-Theory of Interactional Harmony and Discord
Using systematic grounded theory methodology, analysis, and
synthesis of text from 200+ peer-reviewed published, psychological secondary
sources; this research focused upon what happens, moment-to-moment, during the
unfolding of interactions in close, significant, well-established
relationships. Results included a
self-reflexive, holographic nonlinear dynamical systems process-theory of
interactional harmony and discord.
Initial conditions change instantaneously through interdependent
intraindividual and dyadic state dynamic feedback processes. Multiple momentary iterations elicit
continual self-organization of spontaneous emergences of co-constructed
perceptions, expectations, cognitive-affective-psychophysiological processes,
and dyadic system's behavioral trajectories.
Chad Webb, Department of
Psychology, Pikeville College
Daniel Schnopp-Wyatt, Psychology Department, Pikeville College
Sun 16:00-17:00 Session, Room
208
The Chaotic Nature of Chaos Theory
From a qualitative standpoint, theories that led to a
far-reaching paradigm shift had similar qualities. All had a causal barrier where understanding
stopped and assumption began. This
barrier served as the constant framework in which problems could be defined and
later understood. The barrier served as
a seed, a base, from which things were defined and understanding began. We
suggest that this barrier is the edge of chaos. In science, as in theology, and
in every other field of thought, an answer leads to more questions. Answers to
individual questions effect the course of study as a whole. The pursuit of understanding is a
self-referential feed-back phenomenon. The recursive pattern of previous
paradigm shifts give indications of the future direction of chaos theory as it
reshapes science. All major scientific advancements follow a pattern of chaotic
turbulence giving rise to order before advancing into the next phase of chaotic
disturbance. The question becomes the
answer and the answers give rise to new questions. This is exemplified by the
creation and elaboration of Newtonian physics, the central dogma of biology
regarding DNA synthesis and reproduction, and the heliocentric theory of
Copernicus. The chaotic nature of scientific endeavor resembles matter in a
super-saturated solution. For structure to form the presence of a seed crystal
or strange attractor - a causal barrier in the sciences - is essential. We will
present examples from the history of science and emphasize the evolution of
chaos theory.
Myra Sturgeon White,
Department of Psychiatry, Harvard Medical School
Michael Lamport Commons, Department
of Psychiatry, Harvard Medical School
Sat 18:15 Poster Session,
Outside Rooms 426-430
Solving Complex Problems Using
Hierarchical Stacked Neural Networks Modeled on Cognitive Development
Neural networks have greatly improved our ability to model
human behavior and solve complex problems.
Their success lies in their ability to model neuronal function and
organization within the brain. However,
because we have not yet identified how combinations of neurons produce
complicated behavioral sequences, neural networks are not able to fully mimic
the brain’s capacity to combine behaviors in novel ways to solve complex
problems. As a result, they cannot solve complex problems that humans solve
easily. Our work adds a new dimension by
creating hierarchical stacked neural networks that model how humans acquire
complex behavioral sequences. We present a blueprint for designing neural
networks that incorporate Commons’ Model of Hierarchical Complexity (1998) and
thus, more closely parallel the behavioral learning process in humans with its
capacities to flexibly solve and respond to complex problems. Commons’ Model is based on research showing
that cognitive development in humans proceeds through a series of ordered
stages. Actions and tasks performed at increasingly higher stages are built on
each proceeding stage. Hierarchical
stacked neural networks in our design parallel this process by being ordered in
the same way as the developmental learning sequence outlined in Commons’
model. The mathematical models used
within each network in a stack are based on its developmental stage and not the
logic of a task. Using our model, we
have designed a system that directs incoming customers’ calls to correct
departments in a large organization based on customers’ oral statements and
responses to questions asked by the system.
George R. Williams,
Media Bureau, Federal Communication Commission
Sat 9:00-10:30 Session, Room
220
Recurring Symbols and Patterns in
Gift Exchange
A number of authors have suggested that gift exchange,
distinct from ordinary monetary exchange or trade, promotes social bonding and
coherence in a society. In this paper,
we explore a number of symbols associated with gift exchange that recurr across
a number of cultures. The class of
prominent symbols that recurr suggest that gift exchange may be linked with
fertility and rituals that link a community with the land.
Susan Yoon, Ontario Institute for
Studies in Education of the University of Toronto,
Eric Klopfer, MIT
Earl Woodruff, Ontario
Institute for Studies in Education of the University of Toronto
Latika Nirula, Ontario
Institute for Studies in Education of the University of Toronto
Hal Scheintaub, Governor Dummer Academy, Boston
Sat 9:00-10:30 Session, Room
220
Investigating How a
Wearable Computer Technology (Thinking Tags) Influences Opinion Dynamics
Recent educational simulation and modeling tools have
provided innovative opportunities for students and teachers to develop a
complex systems understanding about how natural and social systems operate. In
this interactive poster we report on a study aimed at investigating how the
public display of first-person information mediates interactions between social
and cognitive domains of learning. We specifically use a micro-computer
technology developed at MIT called a “Thinking Tag” that communicates through
infrared and can be programmed to represent various characteristics of the
wearer. Our findings indicate that this technology has great potential as a
tool for tracking the understanding that emerges as students learn about
complex scientific issues. The feedback and amplification of ideas reveal
important decision-making processes (that normally remain hidden) in discursive
classroom contexts. Participants in this session will be required to wear a
“Thinking Tag”, formulate an opinion on an issue based on the theme of this
conference, and discuss their opinions with other participants.