A Scalable Agent Location Mechanism
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Forming efficient agent groups for completing complex tasks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Multiagent reinforcement learning and self-organization in a network of agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Information Sharing in an Agent Organized Network
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Methods for task allocation via agent coalition formation
Artificial Intelligence
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Coalition formation in social networks allows many choices of which task to select and with whom to partner in the social network. Agents communicate with agents within n network links in their surrounding network. These agents are considered part of an agent’s local neighborhood. Agents maintain a database of skills possessed by agents in their local neighborhood. We compare agents of two different types. Structural agents seek to create a scale-free network. Inventory agents seek to connect to agents who possess a skill not found in their current local neighborhood. We examine the ability of the agents to deal with static skill demand patterns, changing skill demand patterns, and a mismatch of the skills supplied to the skills demanded.