Bilateral Trade and `Small-World' Networks
Computational Economics
Self-Organizing Production and Exchange
Computational Economics
Finding Good Peers in Peer-to-Peer Networks
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Learning algorithms for software agents in uncertain and untrusted market environments
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Cognitive Systems Research
Searching for Collaborators in Agent Networks
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Agent organized networks redux
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Divide-and-coordinate: DCOPs by agreement
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Learning to locate trading partners in agent networks
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
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As multi-agent systems grow in size and complexity, social networks that govern the interactions among the agents will directly impact system behavior at the individual and collective levels. Examples of such large-scale, networked multi-agent systems include peer-to-peer networks, distributed information retrieval, and agent-based supply chains. One way of dealing with the uncertain and dynamic nature of such environments is to endow agents with the ability to modify the agent social network by autonomously adapting their local connectivity structure. In this paper, we present a framework for agent-organized networks (AONs) in the context of multi-agent production and exchange, and experimentally evaluate the feasibility and efficiency of specific AON strategies. We find that decentralized network adaptation can significantly improve organizational performance. Additionally, we analyze several properties of the resulting network structures and consider their relationship to the observed increase in organizational performance.