UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title A Dynamical Model of Risky Choice Permalink Publication Date A Dynamical Model of Risky Choice release_p6leyepq7rbsbnjoqrzeqcqm7y

by Van Rooij, Marieke Favela, Luis Malone, Mary Lauren, Marieke Van Rooij, Luis Favela, Marylauren Malone, Michael Richardson

Released as a article-journal .

Issue 35 (2013)


Individuals make decisions under uncertainty every day based on incomplete information concerning the potential outcome of the choice or chance levels. The choices individuals make often deviate from the rational or mathematically objective solution. Accordingly, the dynamics of human decision-making are difficult to capture using conventional, linear mathematical models. Here, we present data from a two-choice task with variable risk between sure loss and risky loss to illustrate how a simple nonlinear dynamical system can be employed to capture the dynamics of human decision-making under uncertainty (i.e., multi-stability, bifurcations). We test the feasibility of this model quantitatively and demonstrate how the model can account for up to 86% of the observed choice behavior. The implications of using dynamical models for explaining the nonlinear complexities of human decision-making are discussed, as well as the degree to which nonlinear dynamical systems theory might offer an alternative framework for understanding human decision-making processes.
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