Role and member selection in team formation using resource estimation

Masashi Hayano, Dai Hamano, Toshiharu Sugawara

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

    2 Citations (Scopus)

    Abstract

    We propose an efficient team formation method for multi-agent systems consisting of self-interested agents in task-oriented domains. Services computing on computer networks have been rapidly increasing. Efficient team formation for service tasks is considered to be a way to improve performance. Our method is based on our previous parameter learning method enabling agents to efficiently form teams but requiring prior knowledge about all others' resources. We extended that method by adding a resource estimation method so as to increase its applicability to actual application systems. We experimentally evaluated our method by comparing it with the previous method and the task allocation using contract net protocol (CNP). The results demonstrated that the proposed method outperformed other methods even though it did not require prior knowledge about resources in other agents. We discuss the reason for this improvement.

    Original languageEnglish
    Title of host publicationFrontiers in Artificial Intelligence and Applications
    Pages125-136
    Number of pages12
    Volume252
    DOIs
    Publication statusPublished - 2013

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    Volume252
    ISSN (Print)09226389

    Fingerprint

    Computer networks
    Multi agent systems
    Network protocols

    Keywords

    • Learning
    • Task Allocation
    • Team Formation

    ASJC Scopus subject areas

    • Artificial Intelligence

    Cite this

    Hayano, M., Hamano, D., & Sugawara, T. (2013). Role and member selection in team formation using resource estimation. In Frontiers in Artificial Intelligence and Applications (Vol. 252, pp. 125-136). (Frontiers in Artificial Intelligence and Applications; Vol. 252). https://doi.org/10.3233/978-1-61499-254-7-125

    Role and member selection in team formation using resource estimation. / Hayano, Masashi; Hamano, Dai; Sugawara, Toshiharu.

    Frontiers in Artificial Intelligence and Applications. Vol. 252 2013. p. 125-136 (Frontiers in Artificial Intelligence and Applications; Vol. 252).

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

    Hayano, M, Hamano, D & Sugawara, T 2013, Role and member selection in team formation using resource estimation. in Frontiers in Artificial Intelligence and Applications. vol. 252, Frontiers in Artificial Intelligence and Applications, vol. 252, pp. 125-136. https://doi.org/10.3233/978-1-61499-254-7-125
    Hayano M, Hamano D, Sugawara T. Role and member selection in team formation using resource estimation. In Frontiers in Artificial Intelligence and Applications. Vol. 252. 2013. p. 125-136. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-254-7-125
    Hayano, Masashi ; Hamano, Dai ; Sugawara, Toshiharu. / Role and member selection in team formation using resource estimation. Frontiers in Artificial Intelligence and Applications. Vol. 252 2013. pp. 125-136 (Frontiers in Artificial Intelligence and Applications).
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