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Autonomously creating a hierarchy of intelligent agents using clustering in a multi-agent system
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Informationssystem.
2008 In: The 2008 International Conference on Artificial Intelligenc, 2008, Vol. II, 89-95 p.Conference paper (Other academic)

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
2008. Vol. II, 89-95 p.
Keyword [en]
Hierarchy,, Clustering,, Intelligent, Agents,, Multi-agent, Systems,, Meta-agents
URN: urn:nbn:se:su:diva-18567ISBN: 1-60132-070-1OAI: diva2:185090
Available from: 2009-02-27 Created: 2009-01-26Bibliographically approved

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ReferencesLink to record
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