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An Agent-Based System for Simulating Dynamic Choice-Sets

机译:用于模拟动态选择集的基于代理的系统

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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:这篇论文讨论了近期对活动旅行模式动态的兴趣,讨论了位置选择集的动态形成的框架。它基于愿望,激活和预期效用的概念。基于贝叶斯学习,加固学习和社会比较理论的原则,该框架规定了基于经验的学习,扩展和与社会学习集成的功能。

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