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  1. On Degrees of Justification.Gregor Betz - 2012 - Erkenntnis 77 (2):237-272.
    This paper gives an explication of our intuitive notion of strength of justification in a controversial debate. It defines a thesis' degree of justification within the bipolar argumentation framework of the theory of dialectical structures as the ratio of coherently adoptable positions according to which that thesis is true over all coherently adoptable positions. Broadening this definition, the notion of conditional degree of justification, i.e.\ degree of partial entailment, is introduced. Thus defined degrees of justification correspond to our pre-theoretic intuitions (...)
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  • Evaluating dialectical structures with Bayesian methods.Gregor Betz - 2008 - Synthese 163 (1):25-44.
    This paper shows how complex argumentation, analyzed as dialectical structures, can be evaluated within a Bayesian framework by interpreting them as coherence constraints on subjective degrees of belief. A dialectical structure is a set of arguments (premiss-conclusion structure) among which support- and attack-relations hold. This approach addresses the observation that some theses in a debate can be better justified than others and thus fixes a shortcoming of a theory of defeasible reasoning which applies the bivalence principle to argument evaluations by (...)
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  • Non-additive degrees of belief.Rolf Haenni - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 121--159.
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  • Probabilistic Horn abduction and Bayesian networks.David Poole - 1993 - Artificial Intelligence 64 (1):81-129.
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  • Probabilistic argumentation systems.Jürg Kohlas - 2003 - Journal of Applied Logic 1 (3-4):225-253.
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  • Model-based diagnostics and probabilistic assumption-based reasoning.J. Kohlas, B. Anrig, R. Haenni & P. A. Monney - 1998 - Artificial Intelligence 104 (1-2):71-106.
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  • Probabilistic argumentation.Rolf Haenni - 2009 - Journal of Applied Logic 7 (2):155-176.
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  • A hybrid belief system for doubtful agents.Alessandro Saffiotti - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 393--402.
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