Logic and Argumentation

5th International Conference, CLAR 2023, Hangzhou, China, September 10-12, 2023, Proceedings
Herausgegeben:Herzig, Andreas; Luo, Jieting; Pardo, Pere

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 5th International Conference on Logic and Argumentation, CLAR 2023, held in Hangzhou, China, during September 10-12, 2023.

The 11 full papers, one short paper and one invited paper presented in this book were carefully reviewed and selected from 20 submissions.

The papers focus on topics such as: logic and automated deduction; abstract and structured argumentation; dialogues, games and practical reasoning; and quantitative argumentation.

Produktdetails

• Lecture Notes in Computer Science 14156
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-40874-8
• 1st ed. 2023
• Seitenzahl: 248
• Erscheinungstermin: 2. August 2023
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 382g
• ISBN-13: 9783031408748
• ISBN-10: 3031408748
• Artikelnr.: 68373240

Inhaltsangabe

Logic and Automated Deduction.- Dynamic Modal Logic with Counting: when Reduction Axioms Work and Fail.- Solving Modal Logic Problems by Translation to Higher-order Logic.- Formalizing the Unexpected Hanging Paradox: a Classical Surprise.- Abstract and Structured Argumentation.- Weakest Link in Formal Argumentation: Lookahead and Principle-based Analysis.- A Logical Encoding for k-m-Realization of Extensions in Abstract Argumentation.- Topological Conditions and Solutions for Repairing Argumentation Frameworks.- Dialogues, Games and Practical Reasoning.- Providing personalized Explanations: a Conversational Approach.- Audience irrelevance in Strategic Argumentation Games.- A Structured Bipolar Argumentation Theory for Providing Explanations in Practical Reasoning.- Quantitative Argumentation.- A Filtering-based General Approach to Learning Rational Constraints of Epistemic Graphs.- FuzzyLabeling Semantics for Quantitative Argumentation.- A Logic for Preference Lifting under Uncertainty and its Decidability.