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Full Description
This book constitutes the refereed proceedings of the 6th International Conference on Logic and Argumentation, CLAR 2025, held in Taiyuan, China, during June 14-16, 2025.
The 22 full papers included in this book were carefully reviewed and selected from 38 submissions. These papers focus on the recent advancements in the field of logic and argumentation, as well as their applications in various areas of Artificial intelligence (AI), such as explainable AI, ethical dilemmas, reasoning about uncertainty and knowledge representation.
Contents
.- Interpretable Biomedical Named Entity Recognition via BLSTM with Talmudic Public Announcement Logic.
.- Each of those eight coalition logics is also determined by four other kinds of models.
.- Incomplete Higher-Order Abstract Argumentation Frameworks.
.- Modal Equivalence, n-Bisimulation and Model Comparison Game for Basic Neighbourhood Logic.
.- Preference-based extension enforcement in argumentation.
.- Argumentation Framework with Attitude Classification: A New Approach to Handle Controversial Arguments, Defeat Cycles and Self-defeating Arguments.
.- Ontology of Autonomous Driving as a tool for argumentation on responsibility.
.- A Proposal for the Reconstruction and Evaluation of Multimodal Argumentation in Print Advertisements.
.- Validity of attacks related to argument set in higher-order argumentation frameworks.
.- Deontic Sufficiency in Dyadic Deontic Logic.
.- Reasoning in Coalition Planning.
.- The Surprise Exam in Full Modal Fixed-Point Logic.
.- Which One Takes Priority?—Reflections on the Concept of Argument.
.- Argument-Based Belief and the Evidence Topology.
.- On Pluralistic Methods for Explaining Argument Acceptance in Abstract Argumentation.
.- Proportional Acceptability of Arguments.
.- Towards Assumption-based Argumentation Mining in Hotel Reviews.
.- A dialogical interpretation of cut-elimination and its application to argumentation theory.
.- On SCC-recursiveness in Quantitative Argumentation.
.- Six Faces of Or-to-If.
.- Relevance for Stability of Verification Status of a Set of Arguments in Incomplete Argumentation Frameworks.
.- The A-BDI Metamodel for Human-Level AI: Argumentation as Balancing, Dialogue and Inference.