Planning for Conjunctive Goals

作者: David Chapman

DOI: 10.1016/0004-3702(87)90092-0

关键词: Operations researchPartial-order planningCorrectnessHeuristicSimple (abstract algebra)Action (philosophy)Representation (mathematics)MathematicsWork (electrical)State (computer science)

摘要: Abstract The problem of achieving conjunctive goals has been central to domain-independent planning research; the nonlinear constraint-posting approach most successful. Previous planners this type have complicated, heuristic, and ill-defined. I combined distilled state art into a simple, precise, implemented algorithm (TWEAK) which proved correct complete. analyze previous work on planning; in retrospect it becomes clear that all planners, linear nonlinear, same way. efficiency correctness these depends traditional add/delete-list representation for actions, drastically limits their usefulness. present theorems suggest efficient general purpose with more expressive action representations is impossible, ways avoid problem.

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