Role modeling for adaptive multiagent systems engineering

Kemas M. Lhaksmana, Yohei Murakami, Toru Ishida

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

The future of computing systems is leading to a growing complexity of heterogeneous computing systems integration situated in highly dynamic and uncertain environment. Self-organization has been proposed to be one of the solutions due to its autonomous capability to govern itself and to adapt upon changes. Developing self-organizing systems requires a suitable modeling method because of its unique characteristics, such as self-adaptive, decentralized, and emergent. Existing multiagent systems engineering methodologies lack modeling methods to design behavior adaptation for self-organizing systems. This paper proposes a role modeling method that allows designers to model how agents perform behavior adaptation at runtime by making transitions from one set of roles to another in decentralized manner. The behavior adaptation of each individual agent may eventually emerge as the adaptation of the organization. The proposed modeling method also helps designers to analyze issues that may occur because of playing multiple roles, such as role conflict, role overload, role transition oscillation, and other common issues in concurrency.

本文言語English
ホスト出版物のタイトルProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
出版社IEEE Computer Society
ページ287-292
ページ数6
ISBN(印刷版)9781479929023
DOI
出版ステータスPublished - 2013
外部発表はい
イベント2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 - Atlanta, GA, United States
継続期間: 2013 11 172013 11 20

出版物シリーズ

名前Proceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
2

Conference

Conference2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
国/地域United States
CityAtlanta, GA
Period13/11/1713/11/20

ASJC Scopus subject areas

  • 人工知能

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