Multi-agent Coordination Based on Semantic Approximation

  • Authors:
  • Yinglong Ma;Kehe Wu;Yi Zheng;Wei Li

  • Affiliations:
  • North China Electric Power University, China;North China Electric Power University, China;North China Electric Power University, China;North China Electric Power University, China

  • Venue:
  • WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
  • Year:
  • 2006

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Abstract

Within multi-agent systems, it is almost impossible for multiple Web agents to completely share a same semantic vocabulary. Because of incomplete information and ontological heterogeneity, an agent can partially understand the contents of other ontologies. This makes multi-agent communication rather difficult. In this paper, we utilize semantic approximation for implementing better multi-agent communication based on partial shared distributed ontologies, and hence achieve coordination query among multiple agents. We also developed a multi-agent coordination system based on semantic approximation.