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#argumentation News & Analysis

5 articles tagged with #argumentation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AINeutralarXiv โ€“ CS AI ยท Apr 76/10
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Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory

Researchers propose Rashomon Memory, a new AI agent memory architecture where multiple goal-conditioned agents maintain parallel interpretations of the same events and negotiate through argumentation at query time. The system allows AI agents to handle conflicting perspectives on experiences rather than forcing a single interpretation, using Dung's argumentation semantics to determine which proposals survive retrieval.

AIBullisharXiv โ€“ CS AI ยท Mar 176/10
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Argumentation for Explainable and Globally Contestable Decision Support with LLMs

Researchers introduce ArgEval, a new framework that enhances Large Language Model decision-making through structured argumentation and global contestability. Unlike previous approaches limited to binary choices and local corrections, ArgEval maps entire decision spaces and builds reusable argumentation frameworks that can be globally modified to prevent repeated mistakes.

AINeutralarXiv โ€“ CS AI ยท Mar 64/10
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Legal interpretation and AI: from expert systems to argumentation and LLMs

This research paper examines how AI and Law research has evolved in approaching legal interpretation through three main methodologies: expert systems for knowledge engineering, argumentation frameworks for assessing interpretive claims, and machine learning models including LLMs for automated legal argument generation.

AINeutralarXiv โ€“ CS AI ยท Mar 34/105
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Strength Change Explanations in Quantitative Argumentation

Researchers introduce strength change explanations for quantitative argumentation graphs to make AI inference systems more contestable and explainable. The method describes how to modify argument strengths to achieve desired outcomes and demonstrates applications through heuristic search on layered graphs.

AINeutralarXiv โ€“ CS AI ยท Mar 24/105
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ARGUS: Seeing the Influence of Narrative Features on Persuasion in Argumentative Texts

Researchers introduce ARGUS, a framework for studying how narrative features influence persuasion in online arguments. The study analyzes a ChangeMyView corpus using both traditional classifiers and large language models to identify which storytelling elements make arguments more convincing.