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183 results on '"Vesic, Srdjan"'

1. Impact Measures for Gradual Argumentation Semantics

Author

Anaissy, Caren Al, Delobelle, Jérôme, Vesic, Srdjan, and Yun, Bruno

Subjects
Computer Science - Artificial Intelligence
Abstract

Argumentation is a formalism allowing to reason with contradictory information by modeling arguments and their interactions. There are now an increasing number of gradual semantics and impact measures that have emerged to facilitate the interpretation of their outcomes. An impact measure assesses, for each argument, the impact of other arguments on its score. In this paper, we refine an existing impact measure from Delobelle and Villata and introduce a new impact measure rooted in Shapley values. We introduce several principles to evaluate those two impact measures w.r.t. some well-known gradual semantics. This comprehensive analysis provides deeper insights into their functionality and desirability.

Published
2024

2. The Inverse Problem for Argumentation Gradual Semantics

Author

Oren, Nir, Yun, Bruno, Vesic, Srdjan, and Baptista, Murilo

Subjects
Computer Science - Artificial Intelligence
Abstract

Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability, i.e. how "much" it is attacked by other arguments. Many different gradual semantics have been proposed in the literature, each following different principles and producing different argument rankings. A sub-class of such semantics, the so-called weighted semantics, takes, in addition to the graph structure, an initial set of weights over the arguments as input, with these weights affecting the resultant argument ranking. In this work, we consider the inverse problem over such weighted semantics. That is, given an argumentation framework and a desired argument ranking, we ask whether there exist initial weights such that a particular semantics produces the given ranking. The contribution of this paper are: (1) an algorithm to answer this problem, (2) a characterisation of the properties that a gradual semantics must satisfy for the algorithm to operate, and (3) an empirical evaluation of the proposed algorithm.

Published
2022

3. Towards Ethical Argumentative Persuasive Chatbots

Author

Al Anaissy, Caren, Vesic, Srdjan, Nevejans, Nathalie, Goos, Gerhard, Series Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Fornara, Nicoletta, editor, Cheriyan, Jithin, editor, and Mertzani, Asimina, editor

Published
2023
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4. A Principle-Based Analysis of Bipolar Argumentation Semantics

Author

Yu, Liuwen, Al Anaissy, Caren, Vesic, Srdjan, Li, Xu, van der Torre, Leendert, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gaggl, Sarah, editor, Martinez, Maria Vanina, editor, and Ortiz, Magdalena, editor

Published
2023
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5. Dung's semantics satisfy attack removal monotonicity

Author

Amgoud, Leila and Vesic, Srdjan

Subjects
Computer Science - Artificial Intelligence
Abstract

We show that preferred, stable, complete, and grounded semantics satisfy attack removal monotonicity. This means that if an attack from b to a is removed, the status of a cannot worsen, e.g. if a was skeptically accepted, it cannot become rejected.

Published
2020

6. Representing Pure Nash Equilibria in Argumentation

Author

Yun, Bruno, Vesic, Srdjan, and Oren, Nir

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computer Science and Game Theory
Abstract

In this paper we describe an argumentation-based representation of normal form games, and demonstrate how argumentation can be used to compute pure strategy Nash equilibria. Our approach builds on Modgil's Extended Argumentation Frameworks. We demonstrate its correctness, prove several theoretical properties it satisfies, and outline how it can be used to explain why certain strategies are Nash equilibria to a non-expert human user.

Published
2020

8. A note on the uniqueness of models in social abstract argumentation

Author

Amgoud, Leila, Bonzon, Elise, Correia, Marco, Cruz, Jorge, Delobelle, Jérôme, Konieczny, Sébastien, Leite, João, Martin, Alexis, Maudet, Nicolas, and Vesic, Srdjan

Subjects
Computer Science - Artificial Intelligence
Abstract

Social abstract argumentation is a principled way to assign values to conflicting (weighted) arguments. In this note we discuss the important property of the uniqueness of the model.

Published
2017

9. On Restricting the Impact of Self-attacking Arguments in Gradual Semantics

Author

Beuselinck, Vivien, Delobelle, Jérôme, Vesic, Srdjan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Baroni, Pietro, editor, Benzmüller, Christoph, editor, and Wáng, Yὶ N., editor

Published
2021
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10. Gradual Semantics for Weighted Bipolar SETAFs

Author

Yun, Bruno, Vesic, Srdjan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Vejnarová, Jiřina, editor, and Wilson, Nic, editor

Published
2021
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12. Agenda Separability in Judgment Aggregation

Author

Lang, Jérôme, Slavkovik, Marija, and Vesic, Srdjan

Subjects
Computer Science - Artificial Intelligence
Abstract

One of the better studied properties for operators in judgment aggregation is independence, which essentially dictates that the collective judgment on one issue should not depend on the individual judgments given on some other issue(s) in the same agenda. Independence, although considered a desirable property, is too strong, because together with mild additional conditions it implies dictatorship. We propose here a weakening of independence, named agenda separability: a judgment aggregation rule satisfies it if, whenever the agenda is composed of several independent sub-agendas, the resulting collective judgment sets can be computed separately for each sub-agenda and then put together. We show that this property is discriminant, in the sense that among judgment aggregation rules so far studied in the literature, some satisfy it and some do not. We briefly discuss the implications of agenda separability on the computation of judgment aggregation rules.

Published
2016

13. A partial taxonomy of judgment aggregation rules, and their properties

Author

Lang, Jerôme, Pigozzi, Gabriella, Slavkovik, Marija, van der Torre, Leendert, and Vesic, Srdjan

Subjects
Computer Science - Artificial Intelligence
Abstract

The literature on judgment aggregation is moving from studying impossibility results regarding aggregation rules towards studying specific judgment aggregation rules. Here we give a structured list of most rules that have been proposed and studied recently in the literature, together with various properties of such rules. We first focus on the majority-preservation property, which generalizes Condorcet-consistency, and identify which of the rules satisfy it. We study the inclusion relationships that hold between the rules. Finally, we consider two forms of unanimity, monotonicity, homogeneity, and reinforcement, and we identify which of the rules satisfy these properties.

Published
2015
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15. Identifying the Class of Maxi-Consistent Operators in Argumentation

Author

Vesic, Srdjan

Subjects
Computer Science - Artificial Intelligence
Abstract

Dung's abstract argumentation theory can be seen as a general framework for non-monotonic reasoning. An important question is then: what is the class of logics that can be subsumed as instantiations of this theory? The goal of this paper is to identify and study the large class of logic-based instantiations of Dung's theory which correspond to the maxi-consistent operator, i.e. to the function which returns maximal consistent subsets of an inconsistent knowledge base. In other words, we study the class of instantiations where very extension of the argumentation system corresponds to exactly one maximal consistent subset of the knowledge base. We show that an attack relation belonging to this class must be conflict-dependent, must not be valid, must not be conflict-complete, must not be symmetric etc. Then, we show that some attack relations serve as lower or upper bounds of the class (e.g. if an attack relation contains canonical undercut then it is not a member of this class). By using our results, we show for all existing attack relations whether or not they belong to this class. We also define new attack relations which are members of this class. Finally, we interpret our results and discuss more general questions, like: what is the added value of argumentation in such a setting? We believe that this work is a first step towards achieving our long-term goal, which is to better understand the role of argumentation and, particularly, the expressivity of logic-based instantiations of Dung-style argumentation frameworks.

Published
2014
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16. Graph Theoretical Properties of Logic Based Argumentation Frameworks: Proofs and General Results

Author

Yun, Bruno, Croitoru, Madalina, Vesic, Srdjan, Bisquert, Pierre, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Croitoru, Madalina, editor, Marquis, Pierre, editor, Rudolph, Sebastian, editor, and Stapleton, Gem, editor

Published
2018
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18. A Structural Benchmark for Logical Argumentation Frameworks

Author

Yun, Bruno, Vesic, Srdjan, Croitoru, Madalina, Bisquert, Pierre, Thomopoulos, Rallou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Adams, Niall, editor, Tucker, Allan, editor, and Weston, David, editor

Published
2017
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21. Introducing Preference-Based Argumentation to Inconsistent Ontological Knowledge Bases

Author

Croitoru, Madalina, Thomopoulos, Rallou, Vesic, Srdjan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chen, Qingliang, editor, Torroni, Paolo, editor, Villata, Serena, editor, Hsu, Jane, editor, and Omicini, Andrea, editor

Published
2015
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27. What Can Argumentation Do for Inconsistent Ontology Query Answering?

Author

Croitoru, Madalina, Vesic, Srdjan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Liu, Weiru, editor, Subrahmanian, V. S., editor, and Wijsen, Jef, editor

Published
2013
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29. Beyond Maxi-Consistent Argumentation Operators

Author

Vesic, Srdjan, van der Torre, Leendert, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, del Cerro, Luis Fariñas, editor, Herzig, Andreas, editor, and Mengin, Jérôme, editor

Published
2012
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30. Building an Epistemic Logic for Argumentation

Author

Schwarzentruber, François, Vesic, Srdjan, Rienstra, Tjitze, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, del Cerro, Luis Fariñas, editor, Herzig, Andreas, editor, and Mengin, Jérôme, editor

Published
2012
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31. On the Equivalence of Logic-Based Argumentation Systems

Author

Amgoud, Leila, Vesic, Srdjan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Benferhat, Salem, editor, and Grant, John, editor

Published
2011
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32. Two Roles of Preferences in Argumentation Frameworks

Author

Amgoud, Leila, Vesic, Srdjan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, and Liu, Weiru, editor

Published
2011
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33. Handling Inconsistency with Preference-Based Argumentation

Author

Amgoud, Leila, Vesic, Srdjan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Deshpande, Amol, editor, and Hunter, Anthony, editor

Published
2010
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35. On Revising Argumentation-Based Decision Systems

Author

Amgoud, Leila, Vesic, Srdjan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Sossai, Claudio, editor, and Chemello, Gaetano, editor

Published
2009
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40. Preference in Abstract Argumentation

Author

Kaci, Souhila, Van Der Torre, Leendert, Vesic, Srdjan, Villata, Serena, Vesic, Srdjan, Centre de Recherche en Informatique de Lens (CRIL), and Université d'Artois (UA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Abstract

International audience; Preference is a key concept in argumentation to represent the comparative strength of arguments. In abstract argumentation, it is represented by an ordinal comparative, or by a numerical function. In this chapter, we study the role of comparative preference in abstract argumentation, and numerical preferences are studied in an accompanying chapter. This chapter consists of two parts. In the first part, we survey four reductions discussed in the literature to provide semantics to preference-based argumentation frameworks, and we present ten principles for such semantics. Some of these principles have been mentioned in the literature before, and some of them are new. We provide a complete analysis for the four Dung semantics, based on these four reductions and the ten principles. In the second part of the chapter, we give an outlook of the various open research challenges concerning preference in abstract argumentation. We discuss alternative semantics not based on reductions, principles in the context of symmetric attack, the relation to structured argumentation, and the dynamics of preference and argumentation.

Published
2021

41. Reasoning, arguing, ranking and aggregating

Author

Vesic, Srdjan, Vesic, Srdjan, Centre de Recherche en Informatique de Lens (CRIL), Université d'Artois (UA)-Centre National de la Recherche Scientifique (CNRS), Université d'Artois, and Pierre Marquis

Subjects
Argumentation Theory, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Argumentation, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], Reasoning & knonwledge representation
Published
2021

45. Sets of Attacking Arguments for Inconsistent Datalog Knowledge Bases

Author

Yun, Bruno, Vesic, Srdjan, Croitoru, Madalina, University of Aberdeen, Centre de Recherche en Informatique de Lens (CRIL), Université d'Artois (UA)-Centre National de la Recherche Scientifique (CNRS), Graphs for Inferences on Knowledge (GRAPHIK), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM)

Subjects
argumentation, datalog, SETAF, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience; Logic-based argumentation is a well-known approach for reasoning with inconsistent logic knowledge bases. Such frameworks have been shown to suffer from a major practical drawback consisting of a large number of arguments and attacks. To address this issue, we provide an argumentation framework that considers sets of attacking arguments and provide a theoretical analysis of the new framework with respect to its syntactic and semantic properties. We provide a tool for generating such argumentation frameworks from a Datalog knowledge base and study their characteristics.

Published
2020

50. The Principle-Based Approach to Abstract Argumentation Semantics

Author

Van Der Torre, Leendert, Vesic, Srdjan, Vesic, Srdjan, University of Luxembourg, Centre de Recherche en Informatique de Lens (CRIL), and Université d'Artois (UA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience

Published
2018

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