7 found
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  1.  3
    Arguing About Informant Credibility in Open Multi-Agent Systems.Sebastian Gottifredi, Luciano H. Tamargo, Alejandro J. García & Guillermo R. Simari - 2018 - Artificial Intelligence 259:91-109.
  2.  1
    On the Revision of Informant Credibility Orders.Luciano H. Tamargo, Alejandro J. García, Marcelo A. Falappa & Guillermo R. Simari - 2014 - Artificial Intelligence 212:36-58.
  3.  7
    An Informant-Based Approach to Argument Strength in Defeasible Logic Programming.Andrea Cohen, Sebastian Gottifredi, Luciano H. Tamargo, Alejandro J. García & Guillermo R. Simari - 2021 - Argument and Computation 12 (1):115-147.
    This work formalizes an informant-based structured argumentation approach in a multi-agent setting, where the knowledge base of an agent may include information provided by other agents, and each piece of knowledge comes attached with its informant. In that way, arguments are associated with the set of informants corresponding to the information they are built upon. Our approach proposes an informant-based notion of argument strength, where the strength of an argument is determined by the credibility of its informant agents. Moreover, we (...)
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  4.  16
    An axiomatic characterization of temporalised belief revision in the law.Luciano H. Tamargo, Diego C. Martinez, Antonino Rotolo & Guido Governatori - 2019 - Artificial Intelligence and Law 27 (4):347-367.
    This paper presents a belief revision operator that considers time intervals for modelling norm change in the law. This approach relates techniques from belief revision formalisms and time intervals with temporalised rules for legal systems. Our goal is to formalise a temporalised belief base and corresponding timed derivation, together with a proper revision operator. This operator may remove rules when needed or adapt intervals of time when contradictory norms are added in the system. For the operator, both constructive definition and (...)
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  5.  2
    An Approach to Decision Making Based on Dynamic Argumentation Systems.Edgardo Ferretti, Luciano H. Tamargo, Alejandro J. García, Marcelo L. Errecalde & Guillermo R. Simari - 2017 - Artificial Intelligence 242:107-131.
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  6.  9
    Credibility Dynamics: A Belief-Revision-Based Trust Model with Pairwise Comparisons.David Jelenc, Luciano H. Tamargo, Sebastian Gottifredi & Alejandro J. García - 2021 - Artificial Intelligence 293:103450.
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  7.  5
    On Argument Acceptability Change Towards Legal Interpretation Dynamics.Martín O. Moguillansky & Luciano H. Tamargo - 2020 - Artificial Intelligence and Law 29 (3):311-350.
    We propose a formal theory built upon an abstract argumentation framework for handling argumentation dynamics. To that end, we analyze the acceptability dynamics of arguments through the proposal of two different kinds of sets of arguments which are somehow responsible for the acceptability/rejection of a given argument. We develop a study of the consequences of breaking the construction of such sets towards the acceptance of an analyzed argument. This brings about the proposal of a novel change operation which allows to (...)
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