Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13405)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ICCBR 2022.
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About this book
The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).
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Keywords
Table of contents (26 papers)
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Explainability in CBR
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Representation and Similarity
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Adaptation and Analogical Reasoning
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Graphs and Optimisation
Other volumes
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Case-Based Reasoning Research and Development
Editors and Affiliations
Bibliographic Information
Book Title: Case-Based Reasoning Research and Development
Book Subtitle: 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings
Editors: Mark T. Keane, Nirmalie Wiratunga
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-14923-8
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 2022
Softcover ISBN: 978-3-031-14922-1Published: 14 August 2022
eBook ISBN: 978-3-031-14923-8Published: 13 August 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 412
Number of Illustrations: 19 b/w illustrations, 108 illustrations in colour
Topics: Artificial Intelligence, Computer Appl. in Administrative Data Processing, Information Systems and Communication Service