Scenario Description Language for Multi-agent Systems

  • Authors:
  • Armin Stranjak;Igor Čavrak;Mario Žagar

  • Affiliations:
  • Strategic Research Centre, Rolls-Royce plc, Derby, UK DE24 8BJ;Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia HR-10000;Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia HR-10000

  • Venue:
  • IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
  • Year:
  • 2008

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Abstract

Increasing complexity of interactions among agents presents a serious challenge in designing, building and maintaining of such systems. This paper analyses existing interaction description languages and methods, and proposes a novel language based on descriptions of interaction scenarios. Program code generated from scenario descriptions, in synergy with related platform components, simplifies design, implementation and maintenance phases of multi-agent systems characterized by complex and interwoven communication.