Role and member selection in team formation using resource estimation

Masashi Hayano, Dai Hamano, Toshiharu Sugawara

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルAdvanced Methods and Technologies for Agent and Multi-Agent Systems
編集者Dariusz Barbucha, Le Manh Thanh, Robert Howlett, Lakhmi Jain
ページ125-136
ページ数12
DOI
出版ステータスPublished - 2013 12 1

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
252
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • Artificial Intelligence

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