Self-adaptation Strategies to Favor Cooperation

被引:0
作者
Eberling, Markus [1 ]
Buening, Hans Kleine [1 ]
机构
[1] Univ Paderborn, Dept Comp Sci, D-33098 Paderborn, Germany
来源
AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PT I, PROCEEDINGS | 2010年 / 6070卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We deal with a multiagent system where the agents decide with whom to cooperate on the basis of multiple criteria. The system models these criteria with the help of propositions. The agents rate the propositions with value-vectors to model different degrees of agreement with the propositions. In the system the agents adapt their values via different strategies. We will examine the influence of the number of propositions and the influence of different adaptation strategies for the performance of the system in a job and task allocation domain. The results show that high levels of cooperation can be reached through self-adapting agents.
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收藏
页码:223 / 232
页数:10
相关论文
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