A logic-based theory of deductive arguments
By P. Besnard, Anthony Hunter. Artificial Intelligence, 2001
529 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/964b3f8461d13fc852b1eb2597a0619a0fe0f7d3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sanjay Modgil
- Henry Prakken
- Paul E. S. Dunne
- Elizabeth Black
- Trevor J. M. Bench-Capon
- Anthony Hunter
- Leila Amgoud
- Henri Prade
Citations in the corpus
- Using arguments for making and explaining decisions (2009, background): “[3,13,46]), and their handling does not make new problems in the general setting of Section 2, even in the decision process perspective of this paper.”
- A general account of argumentation with preferences (2013, methodology): “Much recent work on structured argumentation formalises arguments as minimal classical consequences from consistent and finite premise sets in standard propositional or first-order logic [5, 12, 13, 26].”
- Argumentation in artificial intelligence (2007, methodology): “Treatments of argumentation using this model are provided in a series of papers by Besnard and Hunter [39,40,102,103]; the relationship between deductive frameworks and AFs is examined in a recent paper of Wooldridge et al.”
- A Relevance-theoretic Framework for Constructing and Deconstructing Enthymemes (2012, background): “[PS97, AC02, BH01 , GS04, Hun07]), which assume that efficient algorithms for argumentation will continue to be developed that ameliorate the associated cost (see [BH08a] for a discussion).”