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Showing results 21 to 24 of 24
   The Principle-Based Approach to Abstract Argumentation Semanticsvan der Torre, Leon  ; in IfCoLog Journal of Logics and Their Applications (2017) The principle-based or axiomatic approach is a methodology to choose an argumentation semantics for a particular application, and to guide the search for new argumentation semantics. This article gives a ... [more ▼] The principle-based or axiomatic approach is a methodology to choose an argumentation semantics for a particular application, and to guide the search for new argumentation semantics. This article gives a complete classification of the fifteen main alternatives for argumentation semantics using the twenty-seven main principles discussed in the literature on abstract argumentation, extending Baroni and Giacomin’s original classification with other semantics and principles proposed in the literature. It also lays the foundations for a study of representation and (im)possibility results for abstract argumentation, and for a principle-based approach for extended argumentation such as bipolar frameworks, preference-based frameworks, abstract dialectical frameworks, weighted frameworks, and input/output frameworks. [less ▲] Detailed reference viewed: 178 (5 UL) Introducing Bayesian Argumentation NetworksGabbay, Dov M. ; in IfCoLog Journal of Logics and Their Applications (2016) Detailed reference viewed: 59 (2 UL)Retalis Language for Information Engineering in Autonomous Robot SoftwareZiafati, Pouyan ; ; et alin IfCoLog Journal of Logics and their Applications (2015), 2(2), 85 Detailed reference viewed: 117 (12 UL)Tools for Conviviality in Multi-Context Systems; Caire, Patrice ; Le Traon, Yves in IfCoLog Journal of Logics and Their Applications (2014), 1(1), A common feature of many distributed systems, including web social networks, peer-to-peer systems and Ambient Intelligence systems, is cooperation in terms of information exchange among heterogeneous ... [more ▼] A common feature of many distributed systems, including web social networks, peer-to-peer systems and Ambient Intelligence systems, is cooperation in terms of information exchange among heterogeneous entities. In order to facilitate the exchange of information, we first need ways to evaluate it. The concept of conviviality was recently proposed for modeling and measuring cooperation among agents in multiagent systems. In this paper, we introduce conviviality as a property of Multi-Context Systems (MCS). We first present how to use conviviality to model and evaluate interactions among different contexts, which represent heterogeneous entities in a distributed system. Then, as one cause of logical conflicts in MCS is due to the exchange of information between mutually inconsistent contexts, we show how inconsistency can be resolved using the conviviality property. We illustrate our work with an example from web social networks. [less ▲] Detailed reference viewed: 139 (3 UL)
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