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Autonomously creating a hierarchy of intelligent agents using clustering in a multi-agent system
Uppsala University, Humanistisk-samhällsvetenskapliga vetenskapsområdet, Faculty of Social Sciences, Department of Information Science.
2008 (English)In: Proceedings of The 2008 International Conference on Artificial Intelligence: ICAI 2008, USA: CSREA Press , 2008, 89-95 p.Conference paper (Refereed)
Abstract [en]

In this paper, we present an approach to automatically create a hierarchy of agents. The hierarchy clusters similar agents and, thereby, optimizes locality. The clustering improves task efficiency in the multi-agent system. Moreover, clustering reduces communication costs between closely connected agents and speeds up searching for data in networks and graphs. In addition, the approach supports task handling by the agents and reasoning at different levels in hierarchy by dividing the overall task among the agents in the hierarchy. The benefit of dividing tasks into small separate pieces is that the agents can work with the task independently using parallel computation. The results from the computation can be efficiently reassembled by the hierarchy of agents.

Place, publisher, year, edition, pages
USA: CSREA Press , 2008. 89-95 p.
Hierarchy, Agents, Meta-agents
National Category
Information Science
Research subject
Computer Science
URN: urn:nbn:se:uu:diva-87373ISBN: 1-60132-070-1ISBN: 1-60132-071-8OAI: oai:DiVA.org:uu-87373DiVA: diva2:37419
Available from: 2008-10-05 Created: 2008-10-05 Last updated: 2009-01-19Bibliographically approved

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