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• W1983528622 abstract "Propositional satisfiability checking is a powerful approach to domain-independent planning. In nearly all practical applications, however, there exists an abundance of domain-specific knowledge that can be used to improve the performance of a planning system. This knowledge is traditionally encoded as procedures or rules that are tied to the details of the planning engine. We present a way to encode domain knowledge in a purely declarative, algorithm independent manner. We demonstrate that the same heuristic knowledge can be used by completely different search engines, one systematic, the other using greedy local search. This approach enhances the power of planning as satisfiability : solution times for some problems are reduced from days to seconds." @default.
• W1983528622 created "2016-06-24" @default.
• W1983528622 creator A5007902508 @default.
• W1983528622 creator A5084928583 @default.
• W1983528622 date "2001-02-01" @default.
• W1983528622 modified "2023-09-26" @default.
• W1983528622 title "Encoding domain knowledge for propositional planning" @default.
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• W1983528622 hasPublicationYear "2001" @default.
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