Deciding roles for efficient team formation by parameter learning

Dai Hamada, Toshiharu Sugawara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    We propose a learning method for efficient team formation by self-interested agents in task oriented domains. Service requests on computer networks have recently been rapidly increasing. To improve the performance of such systems, issues with effective team formation to do tasks has attracted our interest. The main feature of the proposed method is learning from two-sided viewpoints, i.e., team leaders who have the initiative to form teams or team members who work in one of the teams that are solicited. For this purpose, we introduce three parameters to agents so that they can select their roles of being a leader or a member, then an agent can anticipate which other agents should be selected as team members and which team it should join. Our experiments demonstrated that the numbers of tasks executed by successfully generated teams increased by approximately 17% compared with a conventional method.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages544-553
    Number of pages10
    Volume7327 LNAI
    DOIs
    Publication statusPublished - 2012
    Event6th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2012 - Dubrovnik
    Duration: 2012 Jun 252012 Jun 27

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7327 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other6th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2012
    CityDubrovnik
    Period12/6/2512/6/27

    Fingerprint

    Parameter Learning
    Computer networks
    Computer Networks
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    Experiments

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Hamada, D., & Sugawara, T. (2012). Deciding roles for efficient team formation by parameter learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7327 LNAI, pp. 544-553). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7327 LNAI). https://doi.org/10.1007/978-3-642-30947-2_59

    Deciding roles for efficient team formation by parameter learning. / Hamada, Dai; Sugawara, Toshiharu.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7327 LNAI 2012. p. 544-553 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7327 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Hamada, D & Sugawara, T 2012, Deciding roles for efficient team formation by parameter learning. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7327 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7327 LNAI, pp. 544-553, 6th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2012, Dubrovnik, 12/6/25. https://doi.org/10.1007/978-3-642-30947-2_59
    Hamada D, Sugawara T. Deciding roles for efficient team formation by parameter learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7327 LNAI. 2012. p. 544-553. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-30947-2_59
    Hamada, Dai ; Sugawara, Toshiharu. / Deciding roles for efficient team formation by parameter learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7327 LNAI 2012. pp. 544-553 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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