Probabilistic Abstract Dialectical Frameworks

Autor:	Dragan Doder, Sylwia Polberg
Rok vydání:	2014
Předmět:	Dialectic Relation (database) business.industry Semantics (computer science) Computer science Probabilistic logic Artificial intelligence Layer (object-oriented design) business Probabilistic argumentation Argumentation theory
Zdroj:	Logics in Artificial Intelligence ISBN: 9783319115573 JELIA
DOI:	10.1007/978-3-319-11558-0_42
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4939b6fbee7709d95d6de45ccf0b2420 https://doi.org/10.1007/978-3-319-11558-0_42 Zobrazit plný text záznamu