Formalisms for multi-agent systems

  • Authors:

  • Mark D'inverno;Michael Fisher;Alessio Lomuscio;Michael Luck;Maarten De Rijke;Mark Ryan;Michael Wooldridge

  • Affiliations:

  • School of Computer Science, University of Westminster, UK;Department of Computing, Manchester Metropolitan University, UK;School of Computer Science, University of Birmingham, UK;Department of Computer Science, University of Warwick, UK;Department of Computer Science, University of Warwick, UK;School of Computer Science, University of Birmingham, UK;Agent Systems Group, Zuno, London, UK

  • Venue:
  • The Knowledge Engineering Review
  • Year:
  • 1997

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Abstract

As computer scientists, our goals are motivated by the desire to improve computer systems in some way: making them easier to design and implement, more robust and less prone to error, easier to use, faster, cheaper, and so on. In the field of multi-agent systems, our goal is to build systems capable of flexible autonomous decision making, with societies of such systems cooperating with one-another. There is a lot of formal theory in the area but it is often not obvious what such theories should represent and what role the theory is intended to play. Theories of agents are often abstract and obtuse and not related to concrete computational models.