Problem representation for refinement

dc.citation.epage282en_US
dc.citation.issueNumber3en_US
dc.citation.spage267en_US
dc.citation.volumeNumber2en_US
dc.contributor.authorGuvenir, H. A.en_US
dc.contributor.authorAkman, V.en_US
dc.date.accessioned2016-02-08T10:55:05Z
dc.date.available2016-02-08T10:55:05Z
dc.date.issued1992en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractIn this paper we attempt to develop a problem representation technique which enables the decomposition of a problem into subproblems such that their solution in sequence constitutes a strategy for solving the problem. An important issue here is that the subproblems generated should be easier than the main problem. We propose to represent a set of problem states by a statement which is true for all the members of the set. A statement itself is just a set of atomic statements which are binary predicates on state variables. Then, the statement representing the set of goal states can be partitioned into its subsets each of which becomes a subgoal of the resulting strategy. The techniques involved in partitioning a goal into its subgoals are presented with examples. © 1992 Kluwer Academic Publishers.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:55:05Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1992en
dc.identifier.doi10.1007/BF02454223en_US
dc.identifier.issn0924-6495
dc.identifier.urihttp://hdl.handle.net/11693/26106
dc.language.isoEnglishen_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/BF02454223en_US
dc.source.titleMinds and machinesen_US
dc.subjectMachine learningen_US
dc.subjectMechanical discoveryen_US
dc.subjectProblem representationen_US
dc.subjectProblem-solvingen_US
dc.subjectRefinementen_US
dc.subjectStrategyen_US
dc.titleProblem representation for refinementen_US
dc.typeArticleen_US

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