Contribution functions for quantitative bipolar argumentation graphs: a principle-based analysis

DOI10.1016/j.ijar.2024.109255zbMATH Open1547.68727MaRDI QIDQ6596710

Timotheus Kampik, Nico Potyka, Xiang Yin, Francesca Toni, Kristijonas Čyras

Publication date: 2 September 2024

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

automated reasoningquantitative argumentationexplainable AI

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27)

Cites Work

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• From fine-grained properties to broad principles for gradual argumentation: a principled spectrum
• Evaluation of argument strength in attack graphs: foundations and semantics
• Argumentative explanations for interactive recommendations
• Interpretability of gradual semantics in abstract argumentation
• Advancing mathematics by guiding human intuition with AI
• Evaluation of arguments in weighted bipolar graphs
• Change in quantitative bipolar argumentation: sufficient, necessary, and counterfactual explanations

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