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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10686

Title: An Agent-Based System for Simulating Dynamic Choice-Sets
Authors: Han, Q.
Arentze, T.
WETS, Geert
Issue Date: 2008
Publisher: Society for Computer Simulation International, San Diego, CA, USA
Citation: Proceedings of the 2008 Spring simulation multiconference. p. 26-33.
Series/Report: Spring Simulation Multiconference
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, reinforcement learning and social comparison theories, the framework specifies functions for experience-based learning, extended and integrated with social learning.
URI: http://hdl.handle.net/1942/10686
ISBN: 1-56555-319-5
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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