8 found
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  1.  17
    Arguing about informant credibility in open multi-agent systems.Sebastian Gottifredi, Luciano H. Tamargo, Alejandro J. García & Guillermo R. Simari - 2018 - Artificial Intelligence 259 (C):91-109.
    This paper proposes the use of an argumentation framework with recursive attacks to address a trust model in a collaborative open multi-agent system. Our approach is focused on scenarios where agents share information about the credibility (informational trust) they have assigned to their peers. We will represent informants’ credibility through credibility objects which will include not only trust information but also the informant source. This leads to a recursive setting where the reliability of certain credibility information depends on the credibility (...)
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  2.  14
    On the revision of informant credibility orders.Luciano H. Tamargo, Alejandro J. García, Marcelo A. Falappa & Guillermo R. Simari - 2014 - Artificial Intelligence 212 (C):36-58.
    In this paper we propose an approach to multi-source belief revision where the trust or credibility assigned to informant agents can be revised. In our proposal, the credibility of each informant represented as a strict partial order among informant agents, will be maintained in a repository called credibility base. Upon arrival of new information concerning the credibility of its peers, an agent will be capable of revising this strict partial order, changing the trust assigned to its peers accordingly. Our goal (...)
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  3.  18
    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 (C):107-131.
    In this paper we introduce a formalism for single-agent decision making that is based on Dynamic Argumentation Frameworks. The formalism can be used to justify a choice, which is based on the current situation the agent is involved. Taking advantage of the inference mechanism of the argumentation formalism, it is possible to consider preference relations, and conflicts among the available alternatives for that reasoning. With this formalization, given a particular set of evidence, the justified conclusions supported by warranted arguments will (...)
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  4.  26
    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.  17
    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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  6.  24
    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 (C):103450.
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  7.  15
    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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  8.  11
    An approach to temporalised legal revision through addition of literals.Martín O. Moguillansky, Diego C. Martinez, Luciano H. Tamargo & Antonino Rotolo - forthcoming - Artificial Intelligence and Law:1-46.
    As lawmakers produce norms, the underlying normative system is affected showing the intrinsic dynamism of law. Through undertaken actions of legal change, the normative system is continuously modified. In a usual legislative practice, the time for an enacted legal provision to be in force may differ from that of its inclusion to the legal system, or from that in which it produces legal effects. Even more, some provisions can produce effects retroactively in time. In this article we study a simulation (...)
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