Who Works Together in Agent Coalition Formation?
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Avoiding Threats Using Multi Agent System Planning for Web Based Systems
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
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We propose an innovative two-step learning approach to planning-instantiation for multi-agent coalition formation in dynamic, uncertain, real-time, and noisy environments. The first step learns about the planning of a coalition to improve its quality, adapting to the real-time and environmental requirements.The second step learns about the instantiation of the plan to improve the formation process, taking into account uncertain and dynamic behaviors of the peer agents.Decomposing the approach into two steps allos for modularity and flexibility in learning: learning how to plan a coalition is strategic while learning how to instantiate a plan is tactical.Our approach employs a case-based reinforcement learning (CBRL) framework.