Belief revision-based case-based reasoning
Identifieur interne : 001606 ( Hal/Checkpoint ); précédent : 001605; suivant : 001607Belief revision-based case-based reasoning
Auteurs : Julien Cojan [France] ; Jean Lieber [France]Source :
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Abstract
Adaptation is a task of case-based reasoning (CBR) that aims at modifying a case to solve a new problem. Now, belief revision deals also about modifications. This paper studies how some results about revision can be applied to formalize adaptation and, more widely, CBR. Revision operators based on distances are defined in formalisms frequently used in CBR and applied to define an adaptation operator that takes into account the domain knowledge and the adaptation knowledge. This approach to adaptation is shown to generalize some other approaches to adaptation, such as rule-based adaptation.
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Now, belief revision deals also about modifications. This paper studies how some results about revision can be applied to formalize adaptation and, more widely, CBR. Revision operators based on distances are defined in formalisms frequently used in CBR and applied to define an adaptation operator that takes into account the domain knowledge and the adaptation knowledge. This approach to adaptation is shown to generalize some other approaches to adaptation, such as rule-based adaptation.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Belief revision-based case-based reasoning</title><author role="aut"><persName><forename type="first">Julien</forename><surname>Cojan</surname></persName><email></email><idno type="halauthor">794055</idno><affiliation ref="#struct-178918"></affiliation></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>Jean.Lieber@loria.fr</email><idno type="halauthor">794056</idno><orgName ref="#struct-413289"></orgName><affiliation ref="#struct-205125"></affiliation></author><editor role="depositor"><persName><forename>Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2012-12-10 12:29:49</date><date type="whenModified">2015-09-22 01:12:32</date><date type="whenReleased">2012-12-10 12:29:49</date><date type="whenProduced">2012-08-27</date></edition><respStmt><resp>contributor</resp><name key="114151"><persName><forename>Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00763220</idno><idno type="halUri">https://hal.inria.fr/hal-00763220</idno><idno type="halBibtex">cojan:hal-00763220</idno><idno type="halRefHtml">G. Richard. ECAI-2012 Workshop SAMAI, Aug 2012, Montpellier, France. pp.33--39, 2012, Proceedings of the ECAI-2012 Workshop SAMAI: Similarity and Analogy-based Methods in AI</idno><idno type="halRef">G. Richard. ECAI-2012 Workshop SAMAI, Aug 2012, Montpellier, France. pp.33--39, 2012, Proceedings of the ECAI-2012 Workshop SAMAI: Similarity and Analogy-based Methods in AI</idno></publicationStmt><seriesStmt><idno type="stamp" n="UNICE">Université Nice Sophia Antipolis</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INRIA-SOPHIA">INRIA Sophia Antipolis - Méditerranée</idno><idno type="stamp" n="I3S">Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis</idno><idno type="stamp" n="INRIASO">INRIA-SOPHIA</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</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">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="WIMMICS">WIMMICS: Web-Instrumented Man-Machine Interactions, Communities, and Semantics</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno></seriesStmt><notesStmt><note type="audience" n="2">International</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">Belief revision-based case-based reasoning</title><author role="aut"><persName><forename type="first">Julien</forename><surname>Cojan</surname></persName><idno type="halAuthorId">794055</idno><affiliation ref="#struct-178918"></affiliation></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>Jean.Lieber@loria.fr</email><idno type="halAuthorId">794056</idno><orgName ref="#struct-413289"></orgName><affiliation ref="#struct-205125"></affiliation></author></analytic><monogr><meeting><title>ECAI-2012 Workshop SAMAI</title><date type="start">2012-08-27</date><settlement>Montpellier</settlement><country key="FR">France</country></meeting><respStmt><resp>conferenceOrganizer</resp><name>Gilles Richard</name></respStmt><editor>G. Richard</editor><imprint><biblScope unit="serie">Proceedings of the ECAI-2012 Workshop SAMAI: Similarity and Analogy-based Methods in AI</biblScope><biblScope unit="pp">33--39</biblScope><date type="datePub">2012</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">case-based reasoning</term><term xml:lang="en">adaptation</term><term xml:lang="en">belief revision</term><term xml:lang="en">analogical reasoning</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Adaptation is a task of case-based reasoning (CBR) that aims at modifying a case to solve a new problem. Now, belief revision deals also about modifications. This paper studies how some results about revision can be applied to formalize adaptation and, more widely, CBR. Revision operators based on distances are defined in formalisms frequently used in CBR and applied to define an adaptation operator that takes into account the domain knowledge and the adaptation knowledge. This approach to adaptation is shown to generalize some other approaches to adaptation, such as rule-based adaptation.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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