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  1.  50
    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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  2.  42
    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.
    Defeasible argumentation has been applied successfully in several real-world domains in which it is necessary to handle incomplete and contradictory information. In recent years, there have been interesting attempts to carry out argumentation processes supported by massive repositories developing argumentative reasoning applications. One of such efforts builds arguments by retrieving information from relational databases using the DBI-DeLP framework; this article presents eDBI-DeLP, which extends the original DBI-DeLP framework by providing two novel aspects which refine the interaction between DeLP programs and (...)
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    Computing Generalized Specificity.Frieder Stolzenberg, Alejandro Javier Garcia, Carlos Ivan Chesñevar & Guillermo Ricardo Simari - 2003 - Journal of Applied Non-Classical Logics 13 (1):87-113.
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    False Friends in English‐Spanish Translations in Computer Science Literature.Mariona Sabaté‐Carrové & Carlos Iván Chesñevar - 1998 - Perspectives 6 (1):47-59.
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