Argumentation in artificial intelligence

By Trevor J. M. Bench-Capon, Paul E. S. Dunne. Artificial Intelligence, 2007

1,169 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6b7101e3619b85c1ea59e691d709b78db5a095f3

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In Artificial Intelligence

Citations in the corpus

Normative Practical Reasoning via Argumentation and Dialogue (2016, methodology): “, 2014] and [Fan and Toni, 2015] admissible dispute trees developed for Assumption-based Argumentation [Dung et al., 2009] are used to provide explanation for why a certain decision is better than another.”
Measuring Inconsistency in Probabilistic Knowledge Bases (2009, background): “…inconsistency in classical logic, e. g. (Rescher and Manor, 1970; Konieczny et al., 2005), or in other logical frameworks, e. g. paraconsistent logics (Bziau et al., 2007), default logics (Reiter, 1980), defeasible logics (Billington, 2008), and argumentation theory (Bench-Capon and Dunne, 2007).”
Facing up to the paradigm of ecological intensification in agronomy: Revisiting methods, concepts and knowledge (2011, background): “…for representing expertise and analysing the conflicts arising when 542 information from different sources is compared (several lay experts or a combination of lay 543 expertise and scientific knowledge; Amgoud & Kaci, 2007; Bench-Capon & Dunne, 2007; 544 Alsinet et al. 2008; Amgoud & Prade, 2009).”
Inconsistency measures for probabilistic logics (2013, background): “…several subﬁelds that deal with incomplete, uncertain, and/or inconsistent knowledge such as default (Reiter, 1980) and defeasible reasoning (Kyburg et al., 1990), argumentation (Bench-Capon and Dunne, 2007; Rahwan and Simari, 2009), or possibilistic and fuzzy reasoning (Siler and Buckley, 2005).”
DART: a Dataset of Arguments and their Relations on Twitter (2016, methodology): “To answer these questions we rely on argumentation theory (Rahwan and Simari, 2009), and more precisely, on the argument mining pipeline (Lippi and Torroni, 2016).”
A general account of argumentation with preferences (2013, background): “Argumentation is a key topic in the logical study of nonmonotonic reasoning and the dialogical study of inter-agent communication [11, 45].”
Weighted argument systems: Basic definitions, algorithms, and complexity results (2011, background): “One of the key aims of argumentation research is to provide principled techniques for handling inconsistency [13] [46].”
Reasoning about preferences in argumentation frameworks (2009, background): “The formal study of argumentation has come to be increasingly central as a core study within Artificial Intelligence [12].”