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- W1561442340 abstract "Abstraction is one of the most promising approaches to improve the performance of problem solvers. In several domains abstraction by dropping sentences of a domain description -- as used in most hierarchical planners -- has proven useful. In this paper we present examples which illustrate significant drawbacks of abstraction by dropping sentences. To overcome these drawbacks, we propose a more general view of abstraction involving the change of representation language. We have developed a new abstraction methodology and a related sound and complete learning algorithm that allows the complete change of representation language of planning cases from concrete to abstract. However, to achieve a powerful change of the representation language, the abstract language itself as well as rules which describe admissible ways of abstracting states must be provided in the domain model. This new abstraction approach is the core of Paris (Plan Abstraction and Refinement in an Integrated System), a system in which abstract planning cases are automatically learned from given concrete cases. An empirical study in the domain of process planning in mechanical engineering shows significant advantages of the proposed reasoning from abstract cases over classical hierarchical planning." @default.
- W1561442340 created "2016-06-24" @default.
- W1561442340 creator A5017348527 @default.
- W1561442340 creator A5066248157 @default.
- W1561442340 date "1995-07-01" @default.
- W1561442340 modified "2023-09-23" @default.
- W1561442340 title "Building and Refining Abstract Planning Cases by Change of Representation Language" @default.
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- W1561442340 doi "https://doi.org/10.1613/jair.160" @default.
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