Partner selection mechanisms for agent cooperation

In a multi-agent system, a single agent may not be capable of completing complex tasks. Therefore agents are required to form a team to fulfill the task requirements. In this paper an agent model is introduced that facilitates cooperation among agents. A multi-threaded multi-agent simulation framework is designed to test the model. The experimental results demonstrate that the model is significantly useful in achieving cooperation under various environmental constraints. It also allows agents to adjust their teammate selection strategies according to environmental constraints.Unpublished[1] Tesser, A. and Shaffer, D., Attitudes and Attitude Change. Annual Review of Psychology, 1990. 41(1): p. 479-523. [2] Airiau, P., Sen, S. and Dasgupta, P., Effect of joining decisions on peer clusters, in Proceedings of the fifth international joint conference on Autonomous agents and Multiagent systems. 2006, ACM: Hakodate, Japan. p. 609-615. [3] Dutta, P.S., Moreau, L. and Jennings, N.R. Finding interaction partners using cognition-based decision strategies. in Proceedings of the IJCAI-2003 workshop on Cognitive Modeling of Agents and Multi-Agent Interactions. 2003. [4] Sen, S., Gursel, A. and Airiau, S. Learning to identify beneficial partners. in the Proceedings of the Workshop on Adaptive and Learning Agents at the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. 2007. USA. [5] Ahn, J., DeAngelis, D. and Barber, S. Attitude Driven Team Formation using Multi-Dimensional Trust. in IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07). 2007. [6] Dutta, P.S. and Sen, S., Forming stable partnerships. Cognitive Systems Research, 2003. 4(3): p. 211-221. [7] Banaei-Kashani, F. and Shahabi, C. Criticality-based analysis and design of unstructured peer-to-peer networks as" Complex systems. in Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on. 2003