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JELIA 2014

Probabilistic Abstract Dialectical Frameworks

Conference Paper Short Papers Artificial Intelligence · Knowledge Representation · Logic in Computer Science

Abstract

Abstract Although Dung’s frameworks are widely approved tools for abstract argumentation, their abstractness makes expressing notions such as support or uncertainty very difficult. Thus, many of their generalizations were created, including the probabilistic argumentation frameworks (PrAFs) and the abstract dialectical frameworks (ADFs). While the first allow modeling uncertain arguments and attacks, the latter can handle various dependencies between arguments. Although the actual probability layer in PrAFs is independent of the chosen semantics, new relations pose new challenges and new interpretations of what is the probability of a relation. Thus, the methodology for handling uncertainties cannot be shifted to more general structures without any further thought. In this paper we show how ADFs are extended with probabilities.

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Context

Venue
European Conference on Logics in Artificial Intelligence
Archive span
2000-2023
Indexed papers
542
Paper id
264965137424932762
v2026.09.13