Evolutionary Design of Rule Changing Artificial Society Using Genetic Algorithms
Evolutionary Design of Rule Changing Artificial Society Using Genetic Algorithms
复制标题
使用遗传算法的规则改变人工社会的进化设计
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
H. Kanoh
中科院分区：
文献类型：
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作者：
Yun Wu;H. Kanoh
社会经济现象、文化进步和政治组织最近通过创建由模拟代理人组成的人工社会来研究。本文提出了一种利用遗传算法设计人工社会中智能体动作规则的新方法，该方法可以实现给定的请求。在本文中，我们提出了一种有效的方法来设计智能体的行动规则，这些智能体将构成一个满足特定需求的人工社会。在该方法中，遗传总体中的每条染色体代表一组候选动作规则和规则迭代次数。传统方法按优先顺序应用不同的规则，而本方法在一段时间内重复应用一组规则。该方法既针对智能体种群的稳定演化，又针对智能体种群的持续演化。实验结果表明，该方法可以生成高概率满足需求的人工社会。
Socioeconomic phenomena, cultural progress and political organization have recently been studied by creating artificial societies consisting of simulated agents. In this paper we propose a new method to design action rules of agents in artificial society that can realize given requests using genetic algorithms (GAs). In this paper we propose an efficient method for designing the action rules of agents that will constitute an artificial society that meets a specified demand by using a GAs. In the proposed method, each chromosome in the GA population represents a candidate set of action rules and the number of rule iterations. While a conventional method applies distinct rules in order of precedence, the present method applies a set of rules repeatedly for a certain period. The present method is aiming at both firm evolution of agent population and continuous action by that. Experimental results using the artificial society proved that the present method can generate artificial society which fills a demand in high probability.
DOI：
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发表时间：
1999
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影响因子：
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作者：
Nigel Gi lbert;K. G. Troitzsch
通讯作者：
Nigel Gi lbert;K. G. Troitzsch