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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14710

Title: An agent-based system for simulating dynamic choice-sets
Authors: Han, Qi
Arentze, Theo
Timmermans, Harry
WETS, Geert
Issue Date: 2007
Citation: Proceedings of International IEE conference on intelligent transportation systems
Abstract: Contributing to the recent interest in the dynamics of activity-travel patterns, this paper discusses a framework for the dynamic formation of location choice-sets. It is based on the concepts of aspiration, activation and expected utility. Based on principles of Bayesian learning, reenforcement learning and social comparison theories, the framework specifies functions for experience-based learning, extended and integrated with social learning.
URI: http://hdl.handle.net/1942/14710
ISBN: 9781424413959
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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