On relating abstract and structured probabilistic argumentation: a case study

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    Abstract

    This paper investigates the relations between Timmer et al.'s proposal for explaining Bayesian networks with structured argumentation and abstract models of probabilistic argumentation. First some challenges are identified for incorporating probabilistic notions of argument strength in structured models of argumentation. Then it is investigated to what extent Timmer et al's approach meets these challenges and satisfies semantics and rationality conditions for probabilistic argumentation frameworks proposed in the literature. The results are used to draw conclusions about the strengths and limitations of both approaches.
    Original languageEnglish
    Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty
    Subtitle of host publication14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017, Proceedings
    EditorsAlessandro Antonucci, Laurence Cholvy, Odile Papini
    PublisherSpringer
    Pages69-79
    ISBN (Electronic)978-3-319-61581-3
    ISBN (Print)978-3-319-61580-6
    DOIs
    Publication statusPublished - 2017

    Publication series

    NameLecture Notes in Artificial Intelligence
    PublisherSpringer
    Volume10369
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

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