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Case-Based Reasoning Research and Development

32nd International Conference, ICCBR 2024, Merida, Mexico, July 1–4, 2024, Proceedings

  • Conference proceedings
  • © 2024


Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14775)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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About this book

This book constitutes the refereed proceedings of the 32nd International Conference on Case-Based Reasoning Research and Development, ICCBR 2024, held in Merida, Mexico, during July 1–4, 2024.

The 29 full papers included in this book were carefully reviewed and selected from 91 submissions. They cover a wide range of CBR topics of interest both to practitioners and researchers, including: improvements to the CBR methodology itself: case representation, similarity, retrieval, adaptation, etc.; synergies with other Artificial Intelligence topics, such as Explainable AI and Large Language Models; and finally a whole catalog of applications to different domains such as health-care, education, and legislation.


  • Computer Science
  • Informatics
  • Conference Proceedings
  • Research
  • Applications
  • Artificial Intelligence
  • Case-based reasoning
  • Knowledge-based systems
  • Machine learning
  • Reasoning about belief and knowledge
  • Cognitive science
  • Instance-based learning
  • Semantics
  • Information retrieval
  • Explainable artificial intelligence
  • Recommender systems
  • Large Language Models

Editors and Affiliations

  • Universidad Complutense de Madrid, Madrid, Spain

    Juan A. Recio-Garcia

  • Tecnológico Nacional de México / IT de Mérida, Merida, Mexico

    Mauricio G. Orozco-del-Castillo

  • University College Cork, Cork, Ireland

    Derek Bridge

Bibliographic Information

  • Book Title: Case-Based Reasoning Research and Development

  • Book Subtitle: 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1–4, 2024, Proceedings

  • Editors: Juan A. Recio-Garcia, Mauricio G. Orozco-del-Castillo, Derek Bridge

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-63645-5Published: 22 June 2024

  • eBook ISBN: 978-3-031-63646-2Due: 04 September 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 462

  • Number of Illustrations: 19 b/w illustrations, 103 illustrations in colour

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