Role-Based Modeling for Designing Agent Behavior in Self-Organizing Multi-Agent Systems

Kemas M. Lhaksmana, Yohei Murakami, Toru Ishida

研究成果: Article査読

13 被引用数 (Scopus)


Self-organization has been proposed to be implemented in complex systems which require the automation capabilities to govern itself and to adapt upon changes. Self-organizing systems can be modeled as multi-Agent systems (MAS) since they share common characteristics in that they consist of multiple autonomous systems. However, most existing MAS engineering methodologies do not fully support self-organizing systems design since they require predefined goals and agent behaviors, which is not the case in self-organizing systems. Another feature that is currently not supported for designing self-organizing MAS is the separation between the design of agent behaviors and behavior adaptation, i.e. how agents adapt their behaviors to respond upon changes. To tackle these issues, this paper proposes a role modeling method, in which agent behaviors are represented as roles, to design how agents perform behavior adaptation at runtime by switching between roles. The applicability of the proposed role modeling method is evaluated in a case study of a self-organizing smart transportation system.

ジャーナルInternational Journal of Software Engineering and Knowledge Engineering
出版ステータスPublished - 2018 1月 1

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 人工知能


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