Modeling the Activity of a Multiagent System with Evolving Metadata

  • Authors:
  • Krzysztof Juszczyszyn

  • Affiliations:
  • Institute of Information Science and Engineering, Wroclaw University of Technology, Wroclaw, Poland

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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Abstract

Currently we don't have a reliable abstraction for modeling activity in knowledge-processing multiagent systems with evolving metadata. The aim of this paper is to propose an approach to simulation of evolving society of software agents with private vocabularies in form of semantic nets (also: lightweight ontologies). The conditions for successful simulation of this kind of systems are formulated with respect to up-to-day results in research on agents, Semantic Web and network theory. The generic algorithm is proposed and the importance of the presented results for predicting behavior of future autonomous agents' societies in Web-based environments is discussed.