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Titlebook: Generating Abstraction Hierarchies; An Automated Approac Craig A. Knoblock Book 1993 Springer Science+Business Media New York 1993 STRIPS.a

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書目名稱Generating Abstraction Hierarchies
副標(biāo)題An Automated Approac
編輯Craig A. Knoblock
視頻videohttp://file.papertrans.cn/383/382267/382267.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Generating Abstraction Hierarchies; An Automated Approac Craig A. Knoblock Book 1993 Springer Science+Business Media New York 1993 STRIPS.a
描述.Generating Abstraction Hierarchies. presents a completelyautomated approach to generating abstractions for problem solving. Theabstractions are generated using a tractable, domain-independentalgorithm whose only inputs are the definition of a problem space andthe problem to be solved and whose output is an abstraction hierarchythat is tailored to the particular problem. The algorithm generatesabstraction hierarchies that satisfy the `ordered monotonicity‘property, which guarantees that the structure of an abstract solutionis not changed in the process of refining it. An abstraction hierarchywith this property allows a problem to be decomposed such that thesolution in an abstract space can be held invariant while theremaining parts of a problem are solved.The algorithm for generating abstractions is implemented in a systemcalled ALPINE, which generates abstractions for a hierarchical versionof the PRODIGY problem solver. .Generating AbstractionHierarchies. formally defines this hierarchical problem solvingmethod, shows that under certain assumptions this method can reducethe size of a search space from exponential to linear in the solutionsize, and describes the implementation of t
出版日期Book 1993
關(guān)鍵詞STRIPS; algorithms; learning; machine learning; problem solving; robot
版次1
doihttps://doi.org/10.1007/978-1-4615-3152-4
isbn_softcover978-1-4613-6380-4
isbn_ebook978-1-4615-3152-4Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1993
The information of publication is updating

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Hierarchical Problem Solving,ects of a problem first. Most of these problem solvers employ one of three types of abstractions: abstract problem spaces, abstract operators, or macro problem spaces. These three approaches are briefly described below and then compared in more detail in Chapter 6.
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Stephen J. Di Martino M.D., Ph.D.The previous chapter described how an abstraction hierarchy can be used for problem solving and showed that the use of abstraction can provide a significant reduction in search. However, several important questions have yet to be addressed: What are the characteristics of a useful abstraction? How do we find useful abstraction hierarchies?
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發(fā)表于 2025-3-22 19:35:20 | 只看該作者
Generating Abstractions,The previous chapter described how an abstraction hierarchy can be used for problem solving and showed that the use of abstraction can provide a significant reduction in search. However, several important questions have yet to be addressed: What are the characteristics of a useful abstraction? How do we find useful abstraction hierarchies?
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https://doi.org/10.1007/978-3-030-43989-7ing of which parts of a problem are more difficult and should therefore be solved first. This can result in a significant amount of wasted effort since a problem solver will spend time solving the details only to have to discard the solutions in the process of solving the more difficult aspects. Eve
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Mukunda Mishra,Soumendu Chatterjeelsson, 1971] to more recent planners such as . [Wilkins, 1984], . [Laird .., 1987] and . [Minton .., 1989b, Minton .., 1989a, Carbonell .., 1991]. A problem solver is a given a problem space definition and a problem and is asked to find a solution to the problem. A . is defined by the legal operator
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