Distributed task allocation in social networks
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Evolving specialisation, altruism, and group-level optimisation using tags
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Towards determining cooperation based on multiple criteria
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Multiagent task allocation in social networks
Autonomous Agents and Multi-Agent Systems
Reorganization of Agent Networks with Reinforcement Learning Based on Communication Delay
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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We deal with a multiagent system where the agents decide with whomto cooperate on the basis ofmultiple 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 systemin a job and task allocation domain. The results show that high levels of cooperation can be reached through self-adapting agents.