CPlan: a constraint programming approach to planning

  • Authors:
  • Peter van Beek;Xinguang Chen

  • Affiliations:
  • -;-

  • Venue:
  • AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
  • Year:
  • 1999

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Abstract

Constraint programming, a methodology for solving difficult combinatorial problems by representing them as constraint satisfaction problems, has shown that a general purpose search algorithm based on constraint propagation combined with an emphasis on modeling can solve large, practical scheduling problems. Given the success of constraint programming on scheduling problems and the similarity of scheduling to planning, the question arises, would a constraint programming approach work as well in planning? In this paper, we present evidence that a constraint programming approach to planning does indeed work well and has the advantage in terms of time and space efficiency over the current state-of-the-art planners.