Communications of the ACM
A formal treatment of distributed matchmaking (poster)
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
A Scalable Agent Location Mechanism
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
A Taxonomy of Middle-Agents for the Internet
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Matchmaking for information agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
An agent-based approach for trustworthy service location
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
A comparative evaluation of agent location mechanisms in large scale MAS
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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With the proliferation of Multi-Agent Systems (MAS), there appears a need to provide effective, robust and scalable agent location mechanisms. Previous studies have presented several solutions to the agent location problem. The majority of those solutions used a centralized approach, however a few distributed solutions were presented as well. Yet, proposed solutions were not compared systematically, and therefore it remains an open question which mechanism should be used, and for which specific MAS parameters. In particular, it is important to compare performance of centralized and distributed solutions, as they are expected to exhibit the most diverse behaviors. This is precisely what we do in this research. We suggest that a distributed peer-to-peer approach [6] to agent location had many advantages over centralized middle-agent location mechanisms [1,2,4]. Via a series of experiments, we show that, in large-scale, overloaded MAS, a distributed approach is more efficient than a centralized one. We also show that through careful planning of the connection model among the agents, one can manage the communication overhead of a distributed location mechanism.