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.
Buy print copy
Tax calculation will be finalised at checkout
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)
-
Argument Mining
-
Debate Analysis and Deliberation
-
Argument Acquisition, Annotation and Quality Assessment
-
Computational Models of Argumentation
Other volumes
-
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