Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Theory for coordinating concurrent hierarchical planning agents using summary information
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Price wars and niche discovery in an information economy
Proceedings of the 2nd ACM conference on Electronic commerce
A satisficing multiagent plan coordinating algorithm for dynamic domains
Proceedings of the fifth international conference on Autonomous agents
An Introduction to Congregating in Multiagent Systems
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
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While numerous techniques have been developed by which agents can coordinate over the allocation of scarce resources or the pursuit of interdependent goals, less is understood about how agents discover, in the first place, with whom they should worry about coordinating and about what. We have studied several strategies for making such discoveries, ranging from communicating abstract information to anticipate potential interactions ahead of time, to learning from interactions as they occur to anticipate future interactions. In this paper, we briefly summarize some of the strategies we have been investigating, and opportunities for further exploration.