Integration of Computational Models Inspired by Economics and Genetics

  • Authors:
  • P. Kearney;R. E. Smith;C. Bonacina;T. Eymann

  • Affiliations:
  • -;-;-;-

  • Venue:
  • BT Technology Journal
  • Year:
  • 2000

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Abstract

Multi-agent software systems can be modelled as complex dynamic systems in which agent adaptation and interaction occur continuously and concurrently. A genetics-inspired view has interaction occurring via exchange of agent characteristics encoded as genes, plus measures of success. An economics-inspired view has agent adaptation driven by changes in prices, and supply and demand. This paper describes work towards a synergistic combination of these views.