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

Yves Lepage*, Jean Lieber

*この研究の対応する著者

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルCase-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings
編集者Kerstin Bach, Cindy Marling
出版社Springer Verlag
ページ235-250
ページ数16
ISBN(印刷版)9783030292485
DOI
出版ステータスPublished - 2019
イベント27th International Conference on Case-Based Reasoning, ICCBR 2019 - Nonnweiler, Germany
継続期間: 2019 9月 82019 9月 12

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11680 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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