A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology

  • Authors:
  • Wei Liu;Mary-Anne Williams

  • Affiliations:
  • -;-

  • Venue:
  • AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
  • Year:
  • 1999

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Abstract

In this paper, we identify that failure to cater for the various forms of heterogeneity is one of the major drawbacks of the previous research on multi-agent belief revision (MABR). Three major categories of heterogeneity, namely social, semantic and syntactic heterogeneity are clarified. Several issues posed by such heterogeneities are addressed in the context of BR. The use of ontology is proposed as a powerful tool to tackle the heterogeneity issues so as to achieve the necessary reliable communication find system interoperability required by MABR. The question of what kind of ontology would be suitable to support MABR in a heterogenous setting is answered in Part I. In its sequel, Part II, a general framework for MABR is presented based on a shared knowledge structure which serves as the theoretical basis for ontology design.