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

Kemas M. Lhaksmana, Yohei Murakami, Toru Ishida

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)79-96
Number of pages18
JournalInternational Journal of Software Engineering and Knowledge Engineering
Volume28
Issue number1
DOIs
Publication statusPublished - 2018 Jan 1
Externally publishedYes

Keywords

  • agent behavior
  • modeling method
  • multi-Agent systems
  • role-based modeling
  • Self-organizing systems

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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