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• W2183742018 abstract "Domain-independent planning is a hard combinatorial problem. Taking into account plan quality makes the task even more difficult. We introduce a new paradigm for efficient high-quality planning that exploits plan rewriting rules and efficient, local search techniques to transform an easy-to-generate, but possibly suboptimal, initial plan into a low-cost plan. In addition to addressing the issues of efficiency and quality, this framework yields a new anytime planning algorithm. We have implemented this planner and applied it to several existing domains. The results show that this approach provides significant savings in planning effort while generating high-quality plans. be many plans that would solve the problem, so finding one is simple (that is, in polynomial time), but the cost of each solution varies greatly so that finding the optimal one may be difficult. We shall refer to these domains as optimization domains. Some optimization domains of great practical interest are query access planning and process planning.’ Second, planning problems have a great deal of structure. Plans are a type of graphs with strong semantics, determined both by the general properties of planning and each particular domain specification. This structure should and can be exploited to improve the efficiency of the planning process." @default.
• W2183742018 created "2016-06-24" @default.
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• W2183742018 date "1997-01-01" @default.
• W2183742018 modified "2023-09-26" @default.
• W2183742018 title "ing by Rewriti tl-y Generati ig" @default.
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• W2183742018 hasPublicationYear "1997" @default.
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