Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 22, Iss. 1, January, 2018, pp. 15-33
@2018 Society for Chaos Theory in Psychology & Life Sciences

 
 
 

Application of Psychological Theories in Agent-Based Modeling: The Case of the Theory of Planned Behavior

Andrea Scalco, University of Verona, Italy
Andrea Ceschi, University of Verona, Italy
Riccardo Sartori, University of Verona, Italy

Abstract: It is likely that computer simulations will assume a greater role in the next future to investigate and understand reality (Rand & Rust, 2011). Particularly, agent-based models (ABMs) represent a method of investigation of social phenomena that blend the knowledge of social sciences with the advantages of virtual simulations. Within this context, the development of algorithms able to recreate the reasoning engine of autonomous virtual agents represents one of the most fragile aspects and it is indeed crucial to establish such models on well-supported psychological theoretical frameworks. For this reason, the present work discusses the application case of the theory of planned behavior (TPB; Ajzen, 1991) in the context of agent-based modeling: It is argued that this framework might be helpful more than others to develop a valid representation of human behavior in computer simulations. Accordingly, the current contribution considers issues related with the application of the model proposed by the TPB inside computer simulations and suggests potential solutions with the hope to contribute to shorten the distance between the fields of psychology and computer science.

Keywords: interdisciplinary methods, decision-making, theory of planned behavior, social simulations