An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base

Yves Lepage, Jean Lieber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes an approach to case-based reasoning by which the case base is enriched at reasoning time. Enrichment results from the local application of variations to seed cases: new hypothetical cases are created which get closer and closer to the target problem. The creation of these hypothetical cases is based on structures associated to the problem and solution spaces, called variation spaces, that enable defining a language of adaptation rules. Ultimately reaching the target problem (exactly or nearly) allows the system to deliver a solution. Application of the proposed approach to machine translation shows behind state-of-the-art, but promising results.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings
EditorsKerstin Bach, Cindy Marling
PublisherSpringer Verlag
Pages235-250
Number of pages16
ISBN (Print)9783030292485
DOIs
Publication statusPublished - 2019 Jan 1
Event27th International Conference on Case-Based Reasoning, ICCBR 2019 - Nonnweiler, Germany
Duration: 2019 Sep 82019 Sep 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11680 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Case-Based Reasoning, ICCBR 2019
CountryGermany
CityNonnweiler
Period19/9/819/9/12

Keywords

  • Analogical reasoning
  • Case base enrichment
  • Case-based machine translation
  • Case-based reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lepage, Y., & Lieber, J. (2019). An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. In K. Bach, & C. Marling (Eds.), Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings (pp. 235-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11680 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-29249-2_16