Analyzing Tow-Away Policy in a Local Community

机译：分析当地社区的拖走政策

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This paper presents an agent-based model to analyze tow-away policy in a local community. We will focus on such a situation that (1) Outsiders of a local community make illegal parking in the residential area; (2) The habitants of the community must develop their tow-away policy; (3) They can form a policy group to stress both the outsiders and the local government; and (4) The local government will support them if the policy group become larger. The interesting point is that the tow-away policy is not an absolute but an emergent one. Under the assumptions, we investigate what kind of conditions will reducethe illegal parking.

机译：本文提出了一种基于代理的模型来分析当地社区的拖带政策。我们将关注以下情况：（1）当地社区的外人在居住区非法停车；（2）社区居民必须制定他们的拖走政策；（3）他们可以组成一个政策小组，向外界和地方政府施加压力；（4）如果政策小组扩大，地方政府将予以支持。有趣的是，拖走政策不是绝对的，而是一种紧急的政策。在此假设下，我们研究了什么样的条件将减少非法停车。

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来源
《International Symposium on Knowledge and Systems Sciences(KSS2004); 20041110-12; Ishikawa(JP)》|2004年|P.109-114|共6页
会议地点 Ishikawa(JP)
作者
Masato Kobayashi; Hiroshi Deguchi; Takao Terano;
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作者单位

Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology 4259 Nagatsuta-cho, Midori-leu Yokohama, 226-8502 Japan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类系统科学;
关键词
multi agent; reinforcement learning; social simulation;

机译：多主体强化学习社会模拟;

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Analyzing Tow-Away Policy in a Local Community

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