Overview
- This book is open access, which means that you have free and unlimited access
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14638)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: RATIO 2024.
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About this book
This open access book constitutes the proceedings of the First International Conference on Robust Argumentation Machines, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024.
The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows:
Argument Mining; Debate Analysis and Deliberation; Argument Acquisition, Annotation and Quality Assessment; Computational Models of Argumentation; Interactive Argumentation, Recommendation and Personalization; and Argument Search and Retrieval.
Keywords
Table of contents (21 papers)
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Front Matter
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Argument Mining
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Front Matter
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Debate Analysis and Deliberation
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Front Matter
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Argument Acquisition, Annotation and Quality Assessment
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Front Matter
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Computational Models of Argumentation
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Front Matter
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Other volumes
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Robust Argumentation Machines
Editors and Affiliations
Bibliographic Information
Book Title: Robust Argumentation Machines
Book Subtitle: First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings
Editors: Philipp Cimiano, Anette Frank, Michael Kohlhase, Benno Stein
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-63536-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2024
Softcover ISBN: 978-3-031-63535-9Published: 17 July 2024
eBook ISBN: 978-3-031-63536-6Published: 16 July 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 372
Number of Illustrations: 26 b/w illustrations, 43 illustrations in colour
Topics: Artificial Intelligence, Theory of Computation, Logic in AI, Mathematical Logic and Foundations, Mathematical Logic and Formal Languages, Software Engineering/Programming and Operating Systems