5 found
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  1. A principle-based robustness analysis of admissibility-based argumentation semantics.Tjitze Rienstra, Chiaki Sakama, Leendert van der Torre & Beishui Liao - 2020 - Argument and Computation 11 (3):305-339.
    The principle-based approach is a methodology to classify and analyse argumentation semantics. In this paper we classify seven of the main alternatives for argumentation semantics using a set of new robustness principles. These principles complement Baroni and Giacomin’s original classification and deal with the behaviour of a semantics when the argumentation framework changes due to the addition or removal of an attack between two arguments. We distinguish so-called persistence principles and monotonicity principles, where the former deal with the question of (...)
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  2.  19
    Revision, defeasible conditionals and non-monotonic inference for abstract dialectical frameworks.Jesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba & Matthias Thimm - 2023 - Artificial Intelligence 317 (C):103876.
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  3.  37
    Building an epistemic logic for argumentation.François Schwarzentruber, Srdjan Vesic & Tjitze Rienstra - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 359--371.
  4.  11
    Learning argumentation frameworks from labelings.Lars Bengel, Matthias Thimm & Tjitze Rienstra - 2024 - Argument and Computation 15 (2):121-159.
    We consider the problem of learning argumentation frameworks from a given set of labelings such that every input is a σ-labeling of these argumentation frameworks. Our new algorithm takes labelings and computes attack constraints for each argument that represent the restrictions on argumentation frameworks that are consistent with the input labelings. Having constraints on the level of arguments allows for a very effective parallelization of all computations. An important element of this approach is maintaining a representation of all argumentation frameworks (...)
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  5. Proceedings of COMMA 2024.Chris Reed, Matthias Thimm & Tjitze Rienstra (eds.) - 2024
     
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