Burden of proof in legal argumentation
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
The Carneades model of argument and burden of proof
Artificial Intelligence
Carneades and Abstract Dialectical Frameworks: A Reconstruction
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Annals of Mathematics and Artificial Intelligence
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Dung's argumentation frameworks (AFs) have become very popular as semantical tools in argumentation. We discuss a generalization of AFs called abstract dialectical frameworks (ADFs). These frameworks are more flexible in that they allow arbitrary boolean functions to be used for the specification of acceptance conditions for nodes. We present the basic underlying definitions and give an example illustrating why they are useful. More precisely, we show how they can be used to provide a semantical foundation for Gordon, Prakken and Walton's Carneades model of argumentation, lifting the limitation of this model to acyclic argument graphs.