Magic Agents: Using Information Relevance to Control Autonomy

  • Authors:
  • B. van der Vecht;F. Dignum;J-J. Ch. Meyer

  • Affiliations:
  • TNO Defense, Security and Safety, The Netherlands and Department of Information and Computing Sciences, Universiteit Utrecht, The Netherlands, email: bobv@cs.uu.nl;Department of Information and Computing Sciences, Universiteit Utrecht, The Netherlands, email: dignum@cs.uu.nl;Department of Information and Computing Sciences, Universiteit Utrecht, The Netherlands, email: jj@cs.uu.nl

  • Venue:
  • Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
  • Year:
  • 2008

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Abstract

Autonomous agents are believed to have control over their internal state and over their behaviour. For that reason, an agent should control how and by whom it is being influenced. We introduce a reasoning component for BDI-agents that deals with the control over external influences, and we propose heuristics using local knowledge to process incoming stimuli. One of those heuristics is based on information relevance with respect to the agent's current plans and goals. We have developed a way to determine the relevance of information in BDI-agents using magic sets from database research as basis. The method presented shows a new application of magic sets by applying the theory in agent systems.