1.  39
    Credibility Limited Revision.Sven Ove Hansson, Eduardo Leopoldo Fermé, John Cantwell & Marcelo Alejandro Falappa - 2001 - Journal of Symbolic Logic 66 (4):1581-1596.
    Five types of constructions are introduced for non-prioritized belief revision, i.e., belief revision in which the input sentence is not always accepted. These constructions include generalizations of entrenchment-based and sphere-based revision. Axiomatic characterizations are provided, and close interconnections are shown to hold between the different constructions.
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  2.  43
    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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  3.  91
    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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