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Logical dialogue-games and fallacies

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The article was published on 1984-01-01 and is currently open access. It has received 136 citations till now.

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Explanation in artificial intelligence: Insights from the social sciences

TL;DR: This paper argues that the field of explainable artificial intelligence should build on existing research, and reviews relevant papers from philosophy, cognitive psychology/science, and social psychology, which study these topics, and draws out some important findings.
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Explanation in Artificial Intelligence: Insights from the Social Sciences

TL;DR: There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to make their algorithms more understandable as mentioned in this paper, and it should not be controversial to say that looking at how humans explain to each other can serve as a useful starting point for explanation in artificial intelligence.
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The Carneades model of argument and burden of proof

TL;DR: A formal, mathematical model of argument structure and evaluation is presented, taking seriously the procedural and dialogical aspects of argumentation, using premise types to capture the varying effect on the burden of proof of different kinds of questions.
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Formal systems for persuasion dialogue

TL;DR: The focus of this review will be on regulating the interaction between agents rather than on the design and behaviour of individual agents within a dialogue, taking a game-theoretic view on dialogue systems.
References
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Book

Entailment : the logic of relevance and necessity

TL;DR: The Description for this book, Entailment: The Logic of Relevance and Necessity, will be forthcoming.
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Question-begging in non-cumulative systems

TL;DR: Two approaches to the fallacy of begging the question (petitio pnizcipii) are compared: dialectical and dialectical in terms of dialogue.
Journal ArticleDOI

Introduction to Logic.