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A study on the emergence of Power systems in artificial Societies.

关于人工社会中电力系统出现的研究。

基本信息

批准号：
12834004
负责人：
TAKAGI Eiji
金额：
$ 0.83万
依托单位：
Saitama University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2001
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12834004/
关键词：
Computer simulation Computational Model Social Power Social Exchange Mutual Adjustment Emergente Properties Evolution Cooperation 適応エージェント人工社会シミュレーション Social Impact 多数派-少数派

项目摘要

The main results of this research project are as follows. I examined the idea that social power emerges from a network of social exchange. Here, strong power is considered to be the agent's ability to gain others' cooperation without giving others its own cooperation. Suppose a situation where a set of agents are engaged in social exchange of cooperation among them. The agents, who are successful in gaining much cooperation from others through exchange, can manipulate strong coalitions and become powerful because they can punish others more effectively. If they have attained a reputation as strong, they can get cooperation from weaker others without giving their cooperation to others including their ex-exchange-partners. It is because weaker agents cannot resist strong ones, and because, if weaker agents give cooperation to weak agents, they may be punished by strong agents. Computer-aided thought experiments demonstrated that such notion worked fairly well.Besides the above analysis, I also conducted the computer simulation analyzes, whose focuses were on the emergence of exchange norms, the emergence of agents' clustering patterns, and the emergence of selective inclusion mechanisms which facilitate cooperation in Social Dilemma situations.

本课题的主要研究成果如下：我研究了社会权力产生于社会交换网络的观点。在这里，强大的权力被认为是代理人在不给予他人合作的情况下获得他人合作的能力。假设有这样一种情况：一组主体之间进行社会合作交换。通过交换成功地从他人那里获得了很多合作的行动者，可以操纵强大的联盟并变得强大，因为他们可以更有效地惩罚他人。如果他们获得了强大的声誉，他们可以从较弱的人那里获得合作，而不需要将合作给予其他人，包括他们的前交易伙伴。这是因为弱的主体无法抵抗强的主体，因为如果弱的主体与弱的主体合作，他们可能会受到强的主体的惩罚。计算机辅助思维实验证明，这种想法相当有效。除上述分析外，我还进行了计算机模拟分析，重点研究了社会困境情境下交换规范的出现、主体聚类模式的出现以及促进合作的选择性包容机制的出现。