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Self-organisation in an agent network via learning

Published: 10 May 2010 Publication History

Abstract

In this paper, a decentralised self-organisation mechanism in an agent network is proposed. The aim of this mechanism is to achieve efficient task allocation in the agent network via dynamically altering the structural relations among agents, i.e. changing the underlying network structure. The mechanism enables agents in the network to reason with whom to adapt relations and to learn how to adapt relations by using only local information. The local information is accumulated from agents' historical interactions with others.

References

[1]
E. R. Gomes and R. Kowalczyk. Dynamic analysis of multiagent q-learning with e-greedy exploration. In Proc. of ICML'09, pages 369--376, Montreal, Canada, Jun. 2009.
[2]
R. Kota, N. Gibbins, and N. R. Jennings. Self-organising agent organisations. In Proc. of AAMAS'09, pages 797--804, Budapest, Hungary, May 2009.
[3]
G. D. M. Serugendo, M.-P. Gleizes, and A. Karageorgos. Self-organization in multi-agent systems. The Knowledge Engineering Review, 20(2):165--189, 2005.

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  • (2019)On learning in collective self-adaptive systemsProceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1109/SEAMS.2019.00012(13-24)Online publication date: 25-May-2019

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  1. Self-organisation in an agent network via learning

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    cover image ACM Other conferences
    AAMAS '10: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
    May 2010
    1578 pages
    ISBN:9780982657119

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    • IFAAMAS

    In-Cooperation

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 10 May 2010

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    Author Tags

    1. adaptation
    2. learning
    3. self-organisation

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    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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    • (2019)On learning in collective self-adaptive systemsProceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1109/SEAMS.2019.00012(13-24)Online publication date: 25-May-2019

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