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Modeling and analysis of dynamic decision making in sequential two-choice tasks

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2 Author(s)
Linh Vu ; department of Aeronautics and Astronautics, University of Washington, Seattle, USA ; Kristi A. Morgansen

We present the construction and analysis of a dynamical system model for human decision making in sequential two-choice tasks, in which a human subject makes a series of interrelated decisions between two choices in order to obtain the maximum reward. For a nominal decision making policy inspired by behavioral aspects of humans, we show asymptotic behavior of such decision making process in sequential two-choice tasks for various types of reward structures. Our work gives a control theory oriented perspective to the experiments carried out by cognitive scientists.

Published in:

Decision and Control, 2008. CDC 2008. 47th IEEE Conference on

Date of Conference:

9-11 Dec. 2008