Sensible Agent Technology Improving Coordination and Communication in Biosurveillance Domains

نویسندگان

  • K. Suzanne Barber
  • D. Faith
  • Karen Fullam
  • Thomas J. Graser
  • David C. Han
  • J. Jeong
  • Joonoo Kim
  • Dung N. Lam
  • Ryan McKay
  • M. Pal
  • Jisun Park
  • M. Vanzin
چکیده

Planning landmarks are facts that must be true at some point in every solution plan. Previous work has very successfully exploited planning landmarks in satisficing (non-optimal) planning. We propose a methodology for deriving admissible heuristic estimates for cost-optimal planning from a set of planning landmarks. The resulting heuristics fall into a novel class of multi-path dependent heuristics, and we present a simple best-first search procedure exploiting such heuristics. Our empirical evaluation shows that this framework favorably competes with the state-of-the-art of cost-optimal heuristic search.

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تاریخ انتشار 2003