From Structured to Abstract Argumentation : Assumption-Based Acceptance via AF Reasoning

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Improving Reasoning Efficiency in ASPIC+ with Backwards Chaining and Partial Arguments

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Algorithms for Reasoning in a Default Logic Instantiation of Assumption-Based Argumentation

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Arg-tuProlog: A tuProlog-based argumentation framework

Over the last decades, argumentation has become increasingly central as a frontier research within artificial intelligence (AI), especially around the notions of interpretability and explainability, which are more and more required within AI applications. In this paper we present the first prototype of Arg-tuProlog, a logic-based argumentation tool built on top of the tuProlog system. In particular, Arg-tuProlog enables defeasible reasoning and argumentation, and deals with priorities over rules. It also includes a formal method for dealing with burden of proof (burden of persuasion). Being lightweight and compliant to the requirements for micro-intelligence, Arg-tuProlog is perfectly suited for injecting argumentation into distributed pervasive systems

Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings

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Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation

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