Titlebook: Scalable Uncertainty Management; 7th International Co Weiru Liu,V. S. Subrahmanian,Jef Wijsen Conference proceedings 2013 Springer-Verlag B

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A Conditional Logic-Based Argumentation Frameworkc is often regarded as an appealing setting for knowledge representation and reasoning. Second, a concept of conditional contrariety is defined that covers usual inconsistency-based conflicts and puts in light a specific form of conflicts that often occurs in real-life: when an agent asserts an . ru

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Modelling Uncertainty in Persuasionainty in beliefs using a probability distribution over models of the language, and use this to identify which are good arguments (i.e. those with support with a probability on or above a threshold). We then investigate three strategies for participants in dialogical argumentation that use this uncer

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On the Implementation of a Multiple Output Algorithm for Defeasible Argumentationguments. The main feature of this recursive semantics is that an output of a program is a pair consisting of a set of warranted and a set of blocked formulas. A program may have multiple outputs in case of circular definitions of conflicts among arguments. In this paper we design an algorithm for co

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Meta-level Argumentation with Argument Schemesargument schemes. In order to improve automated tool support of decision making in such domains, a formal model of argument schemes appears necessary. To address this need, we represent each argument scheme as a defeasible rule in the meta-language, so each application of an argument scheme results

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Ranking-Based Semantics for Argumentation Frameworkswhich rank-orders arguments from the most acceptable to the weakest one(s). The new semantics enjoy two other main features: i) an attack weakens its target but does not kill it, ii) the number of attackers has a great impact on the acceptability of an argument. We start by proposing a set of ration

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