MOBMAS: A methodology for ontology-based multi-agent systems development

  • Authors:
  • Quynh-Nhu Numi Tran;Graham Low

  • Affiliations:
  • School of Information Systems, Technology and Management, The University of New South Wales, Australia;School of Information Systems, Technology and Management, The University of New South Wales, Australia

  • Venue:
  • Information and Software Technology
  • Year:
  • 2008

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Abstract

Ontologies offer significant benefits to multi-agent systems: interoperability, reusability, support for multi-agent system (MAS) development activities (such as system analysis and agent knowledge modeling) and support for MAS operation (such as agent communication and reasoning). This paper presents an ontology-based methodology, MOBMAS, for the analysis and design of multi-agent systems. MOBMAS is the first methodology that explicitly identifies and implements the various ways in which ontologies can be used in the MAS development process and integrated into the MAS model definitions. In this paper, we present comprehensive documentation and validation of MOBMAS.