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 :
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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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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></front></TEI><hal api="V3"><titleStmt><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></persName><email></email><idno type="idhal">beatrice-fuchs</idno><idno type="halauthor">129882</idno><orgName ref="#struct-364528"></orgName></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email><idno type="halauthor">129881</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Alain</forename><surname>Mille</surname></persName><email></email><idno type="idhal">alain-mille</idno><idno type="halauthor">129883</idno><orgName ref="#struct-364529"></orgName></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><email></email><idno type="halauthor">122559</idno><orgName ref="#struct-441569"></orgName><affiliation ref="#struct-2358"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 08:38:46</date><date type="whenModified">2016-05-18 08:58:13</date><date type="whenReleased">2006-09-28 15:22:44</date><date type="whenProduced">1999</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00098813</idno><idno type="halUri">https://hal.inria.fr/inria-00098813</idno><idno type="halBibtex">fuchs:inria-00098813</idno><idno type="halRefHtml">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><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></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">Colloque avec actes et comité de lecture.</note><note type="audience" n="1">Not set</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><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></persName><idno type="idHal">beatrice-fuchs</idno><idno type="halAuthorId">129882</idno><orgName ref="#struct-364528"></orgName></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email><idno type="halAuthorId">129881</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Alain</forename><surname>Mille</surname></persName><idno type="idHal">alain-mille</idno><idno type="halAuthorId">129883</idno><orgName ref="#struct-364529"></orgName></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><idno type="halAuthorId">122559</idno><orgName ref="#struct-441569"></orgName><affiliation ref="#struct-2358"></affiliation></author></analytic><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></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><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></textClass><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></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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