Integrating evolutionary computing and the SADDE methodology

  • Authors:
  • Carles Sierra;Jordi Sabater;Jaume Agustí;Pere Garcia

  • Affiliations:
  • IIIA - CSIC, Campus UAB, Bellaterra, Barcelona, Spain;IIIA - CSIC, Campus UAB, Bellaterra, Barcelona, Spain;IIIA - CSIC, Campus UAB, Bellaterra, Barcelona, Spain;IIIA - CSIC, Campus UAB, Bellaterra, Barcelona, Spain

  • Venue:
  • AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2003

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Abstract

This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent System (MAS) must fullfil to an actual society of interacting agents. We report the use of evolutionary programming techniques to tune the parameters of the populations of agents so their aggregated behaviour maximaly approaches the desired global properties as specified by the EBM.