Applying Belief Revision to Case-Based Reasoning

Julien Cojan 1 Jean Lieber 2
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
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 chapter 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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Submitted on : Monday, December 15, 2014 - 2:41:23 PM
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Julien Cojan, Jean Lieber. Applying Belief Revision to Case-Based Reasoning. Computational Approaches to Analogical Reasoning: Current Trends, 548, Springer, pp.133 - 161, 2014, Studies in Computational Intelligence, ⟨10.1007/978-3-642-54516-0_6⟩. ⟨hal-01095344⟩

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