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  1. Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility.Ringo Baumann, Gerhard Brewka & Markus Ulbricht - 2022 - Artificial Intelligence 310 (C):103742.
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  • Temporal, numerical and meta-level dynamics in argumentation networks.H. Barringer, D. M. Gabbay & J. Woods - 2012 - Argument and Computation 3 (2-3):143 - 202.
    This paper studies general numerical networks with support and attack. Our starting point is argumentation networks with the Caminada labelling of three values 1=in, 0=out and ½=undecided. This is generalised to arbitrary values in [01], which enables us to compare with other numerical networks such as predator?prey ecological networks, flow networks, logical modal networks and more. This new point of view allows us to see the place of argumentation networks in the overall landscape of networks and import and export ideas (...)
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  • Iterated Admissibility Through Forcing in Strategic Belief Models.Fernando Tohmé, Gianluca Caterina & Jonathan Gangle - 2020 - Journal of Logic, Language and Information 29 (4):491-509.
    Iterated admissibility embodies a minimal criterion of rationality in interactions. The epistemic characterization of this solution has been actively investigated in recent times: it has been shown that strategies surviving \ rounds of iterated admissibility may be identified as those that are obtained under a condition called rationality and m assumption of rationality in complete lexicographic type structures. On the other hand, it has been shown that its limit condition, with an infinity assumption of rationality ), might not be satisfied (...)
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  • On the responsibility for undecisiveness in preferred and stable labellings in abstract argumentation.Claudia Schulz & Francesca Toni - 2018 - Artificial Intelligence 262 (C):301-335.
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  • Abstract Argumentation in Artificial Intelligence. Problems of Interpretation and Adequacy of Semantics for Decision Making.Gustavo Adrián Bodanza - unknown
    The abstract argumentation frameworks model is currently the most used tool for characterizing the justification of defeasible arguments in Artificial Intelligence. Justifications are determined on a given attack relation among arguments and are formalized as extension semantics. In this work we argue that, contrariwise to the assumptions in that model, either some argumentation frameworks are meaningless under certain concrete definitions of the attack relation, or some of the most used extension semantics in the literature, based on the defense notion of (...)
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