An Agent-Based System for Simulating Dynamic Choice-Sets

机译：基于Agent的动态选择集模拟系统

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摘要

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.

机译：为了对近期的活动-出行模式动态感兴趣，本文讨论了动态形成位置选择集的框架。它基于期望，激活和预期效用的概念。该框架基于贝叶斯学习，强化学习和社会比较理论，规定了基于经验的学习功能，并与社会学习进行了扩展和整合。

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来源
《Proceedings of the 2008 spring simulation multiconference》|2008年|26-33|共8页
会议地点 Ottawa(CA);Ottawa(CA)
作者
Qi Han; Theo Arentze; Harry Timmermans; Davy Janssens; Geert Wets;
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作者单位

Eindhoven University of Technology;

Eindhoven University of Technology;

Eindhoven University of Technology;

Hasselt University;

Hasselt University;

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会议组织
原文格式 PDF
正文语种 eng
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关键词
habit formation context dependent; dynamicbehavior; social learning; information exchange;

机译：习惯形成依赖于上下文动态行为社会学习；信息交流;

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An Agent-Based System for Simulating Dynamic Choice-Sets

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