14 found
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  1. Introduction to Structured Argumentation.Philippe Besnard, Alejandro Garcia, Anthony Hunter, Sanjay Modgil, Henry Prakken, Guillermo Simari & Francesca Toni - 2014 - Argument and Computation 5 (1):1-4.
    In abstract argumentation, each argument is regarded as atomic. There is no internal structure to an argument. Also, there is no specification of what is an argument or an attack. They are assumed to be given. This abstract perspective provides many advantages for studying the nature of argumentation, but it does not cover all our needs for understanding argumentation or for building tools for supporting or undertaking argumentation. If we want a more detailed formalization of arguments than is available with (...)
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  2.  21
    Defeasible Logic Programming: DeLP-Servers, Contextual Queries, and Explanations for Answers.Alejandro J. García & Guillermo R. Simari - 2014 - Argument and Computation 5 (1):63-88.
    Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyze their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. LogicProgrammingisacomputationalparadigmthathasproducedcompu- tationallyattractivesystemswithremarkablesuccessinmanyapplications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine (...)
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  3.  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 (C):91-109.
  4.  1
    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.
  5.  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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  6.  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 (C):107-131.
  7.  6
    An Approach to Abstract Argumentation with Recursive Attack and Support.Andrea Cohen, Sebastian Gottifredi, Alejandro J. García & Guillermo R. Simari - 2015 - Journal of Applied Logic 13 (4):509-533.
    This work introduces the Attack-Support Argumentation Framework (ASAF), an approach to abstract argumentation that allows for the representation and combination of attack and support relations. This framework extends the argumentation Framework with Recursive Attacks (AFRA) in two ways. Firstly, it adds a support relation enabling to express support for arguments; this support can also be given to attacks, and to the support relation itself. Secondly, it extends AFRA’s attack relation by allowing attacks to the aforementioned support relation. Moreover, since the (...)
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  8.  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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  9.  10
    Acquiring Knowledge From Expert Agents in a Structured Argumentation Setting.Ramiro Andres Agis, Sebastian Gottifredi & Alejandro Javier García - 2019 - Argument and Computation 10 (2):149-189.
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  10. Characterizing Acceptability Semantics of Argumentation Frameworks with Recursive Attack and Support Relations.Sebastian Gottifredi, Andrea Cohen, Alejandro J. García & Guillermo R. Simari - 2018 - Artificial Intelligence 262 (C):336-368.
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  11.  84
    Computing Generalized Specificity.Frieder Stolzenburg, Alejandro J. García, Carlos I. Chesñevar & Guillermo R. Simari - 2003 - Journal of Applied Non-Classical Logics 13 (1):87-113.
    Most formalisms for representing common-sense knowledge allow incomplete and potentially inconsistent information. When strong negation is also allowed, contradictory conclusions can arise. A criterion for deciding between them is needed. The aim of this paper is to investigate an inherent and autonomous comparison criterion, based on specificity as defined in [POO 85, SIM 92]. In contrast to other approaches, we consider not only defeasible, but also strict knowledge. Our criterion is context-sensitive, i. e., preference among defeasible rules is determined dynamically (...)
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  12.  80
    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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  13.  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 (C):103450.
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  14.  20
    Missing Emotions: The Z-Axis of Collective Behavior.Alejandro N. García, José M. Torralba & Ana Marta González - 2014 - Behavioral and Brain Sciences 37 (1):83-85.
    Bentley et al.--O’Brien bypass the relevance of emotions in decision-making, resulting in a possible over-simplification of behavioral types. We propose integrating emotions, both in the north-south axis (in relation to cognition) as well as in the west-east axis (in relation to social influence), by suggesting a Z axis, in charge of registering emotional depth and involvement.
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