Towards a Unified Theory of Adaptation in Case-Based Reasoning
Identifieur interne : 004E65 ( Hal/Corpus ); précédent : 004E64; suivant : 004E66Towards a Unified Theory of Adaptation in Case-Based Reasoning
Auteurs : Béatrice Fuchs ; Jean Lieber ; Alain Mille ; Amedeo NapoliSource :
Descripteurs français
Abstract
Case-based reasoning exploits memorized problem solving episodes, called cases, in order to solve a new problem. Adaptation is a complex and crucial step of case-based reasoning which is generally studied in the restricted framework of an application domain. This article proposes a first analysis of case adaptation independently from a specific application domain. It proposes to combine the retrieval and adaptation steps in a unique planning process that builds an ordered sequence of operations starting from an initial state (the stated problem) and leading to a final state (the problem once solved). Thus, the issue of case adaptation can be addressed by studying the issue of plan adaptation. Finally, it is shown how case retrieval and case adaptation can be related thanks to reformulations and similarity paths.
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<front><div type="abstract" xml:lang="en">Case-based reasoning exploits memorized problem solving episodes, called cases, in order to solve a new problem. Adaptation is a complex and crucial step of case-based reasoning which is generally studied in the restricted framework of an application domain. This article proposes a first analysis of case adaptation independently from a specific application domain. It proposes to combine the retrieval and adaptation steps in a unique planning process that builds an ordered sequence of operations starting from an initial state (the stated problem) and leading to a final state (the problem once solved). Thus, the issue of case adaptation can be addressed by studying the issue of plan adaptation. Finally, it is shown how case retrieval and case adaptation can be related thanks to reformulations and similarity paths.</div>
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<idno type="halRef">K.D. Althoff, R. Bergmann, L.K. Branting. Third International Conference on Case-Based Reasoning - ICCBR'99, 1999, Seeon Monastery, Germany, Springer, 1650, pp.104-117, 1999, Lecture Notes in Artificial Intelligence</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Towards a Unified Theory of Adaptation in Case-Based Reasoning</title>
<author role="aut"><persName><forename type="first">Béatrice</forename>
<surname>Fuchs</surname>
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<idno type="idHal">beatrice-fuchs</idno>
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<author role="aut"><persName><forename type="first">Jean</forename>
<surname>Lieber</surname>
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<email>lieber@loria.fr</email>
<idno type="halAuthorId">129881</idno>
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<author role="aut"><persName><forename type="first">Alain</forename>
<surname>Mille</surname>
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<idno type="idHal">alain-mille</idno>
<idno type="halAuthorId">129883</idno>
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<author role="aut"><persName><forename type="first">Amedeo</forename>
<surname>Napoli</surname>
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<monogr><idno type="localRef">99-R-185 || fuchs99b</idno>
<meeting><title>Third International Conference on Case-Based Reasoning - ICCBR'99</title>
<date type="start">1999</date>
<settlement>Seeon Monastery, Germany</settlement>
</meeting>
<editor>K.D. Althoff, R. Bergmann, L.K. Branting</editor>
<imprint><publisher>Springer</publisher>
<biblScope unit="serie">Lecture Notes in Artificial Intelligence</biblScope>
<biblScope unit="volume">1650</biblScope>
<biblScope unit="pp">104-117</biblScope>
<date type="datePub">1999</date>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><keywords scheme="author"><term xml:lang="fr">raisonnement à partir de cas</term>
<term xml:lang="fr">case-based reasoning</term>
<term xml:lang="fr">adaptation</term>
</keywords>
<classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">Case-based reasoning exploits memorized problem solving episodes, called cases, in order to solve a new problem. Adaptation is a complex and crucial step of case-based reasoning which is generally studied in the restricted framework of an application domain. This article proposes a first analysis of case adaptation independently from a specific application domain. It proposes to combine the retrieval and adaptation steps in a unique planning process that builds an ordered sequence of operations starting from an initial state (the stated problem) and leading to a final state (the problem once solved). Thus, the issue of case adaptation can be addressed by studying the issue of plan adaptation. Finally, it is shown how case retrieval and case adaptation can be related thanks to reformulations and similarity paths.</abstract>
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