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Guillermo Ricardo Simari
Universidad Nacional del Sur
  1.  40
    Stratified Belief Bases Revision with Argumentative Inference.Marcelo Alejandro Falappa, Alejandro Javier García, Gabriele Kern-Isberner & Guillermo Ricardo Simari - 2013 - Journal of Philosophical Logic 42 (1):161-193.
    We propose a revision operator on a stratified belief base, i.e., a belief base that stores beliefs in different strata corresponding to the value an agent assigns to these beliefs. Furthermore, the operator will be defined as to perform the revision in such a way that information is never lost upon revision but stored in a stratum or layer containing information perceived as having a lower value. In this manner, if the revision of one layer leads to the rejection of (...)
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  2.  31
    Defeasible Argumentation Over Relational Databases.Cristhian Ariel David Deagustini, Santiago Emanuel Fulladoza Dalibón, Sebastián Gottifredi, Marcelo Alejandro Falappa, Carlos Iván Chesñevar & Guillermo Ricardo Simari - 2017 - Argument and Computation 8 (1):35-59.
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  3.  45
    Modelling Inference in Argumentation Through Labelled Deduction: Formalization and Logical Properties. [REVIEW]Carlos Iván Chesñevar & Guillermo Ricardo Simari - 2007 - Logica Universalis 1 (1):93-124.
    . Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a confluence point for many alternative logical frameworks. Different formalisms have been developed, most of them sharing the common notions of argument and warrant. In defeasible argumentation, an argument is a tentative (defeasible) proof for reaching a conclusion. An argument is warranted when it ultimately prevails over other (...)
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    Similarity Notions in Bipolar Abstract Argumentation.Paola Daniela Budán, Melisa Gisselle Escañuela Gonzalez, Maximiliano Celmo David Budán, Maria Vanina Martinez & Guillermo Ricardo Simari - 2020 - Argument and Computation 11 (1-2):103-149.
    Abstract. The notion of similarity has been studied in many areas of Computer Science; in a general sense, this concept is defined to provide a measure of the semantic equivalence between two pieces of knowledge, expressing how “close” their meaning can be regarded. In this work, we study similarity as a tool useful to improve the representation of arguments, the interpretation of the relations between arguments, and the semantic evaluation associated with the arguments in the argumentative process. In this direction, (...)
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