Logic and Argumentation

5th International Conference, CLAR 2023, Hangzhou, China, September 10-12, 2023, Proceedings

AvAndreas Herzig,Jieting Luo

Häftad, Engelska, 2023

Del 14156 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-08-02
Mått:155 x 235 x 14 mm
Vikt:382 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:225
Förlag:Springer International Publishing AG
ISBN:9783031408748

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Programmeringsböcker inom Data och IT

Innehållsförteckning

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.