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COMMA
2010

Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks

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Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
Abstract. This paper presents a technique with which instances of argument structures in the Carneades model can be given a probabilistic semantics by translating them into Bayesian networks. The propagation of argument applicability and statement acceptability can be expressed through conditional probability tables. This translation suggests a way to extend Carneades to improve its utility for decision support in the presence of uncertainty. Keywords. Carneades, argumentation and probability, Bayesian Networks
Matthias Grabmair, Thomas F. Gordon, Douglas Walto
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2010
Where COMMA
Authors Matthias Grabmair, Thomas F. Gordon, Douglas Walton
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