Taking into account ?who said what? in abstract argumentation: Complexity results

被引:1
作者
Fazzinga, Bettina [1 ,3 ]
Flesca, Sergio [2 ]
Furfaro, Filippo [2 ]
机构
[1] CNR, ICAR, Lamezia Terme, Italy
[2] Univ Calabria, DIMES, Arcavacata Di Rende, Italy
[3] Univ Calabria, DICES, Arcavacata Di Rende, Italy
关键词
Abstract argumentation; Complexity; PREFERENCE-BASED ARGUMENTATION; TRUST; ENFORCEMENT; ALGORITHMS;
D O I
10.1016/j.artint.2023.103885
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new paradigm for reasoning over abstract argumentation frameworks where the "who said what" relation, associating each argument with the set of agents who claimed it, is taken into account, along with possible information on the trustworthiness of the agents. Specifically, we extend the traditional reasoning based on the classical verification and acceptance problems and introduce a reasoning paradigm investigating how the "robustness" of a set of arguments S (in terms of being an extension or not) or of an argument a (in terms of being accepted or not) can change if what has been claimed by some agents is ignored (as if these agents were removed from the dispute modeled by the argumentation framework). In this regard, we address the problems of searching the "minimum extent" of the removal of agents that makes a set S an extension or an argument a accepted. Compared with the case where only the "yes/no" answer of the traditional verification and acceptance problems are available, the knowledge of such a minimum provides the analyst with further insights allowing them to better judge the robustness of S and a. We consider the above minimization problems in two variants, where the agents are associated with a measure of their trustworthiness or not and provide a thorough characterization of their complexities.(c) 2023 Elsevier B.V. All rights reserved.
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页数:38
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共 66 条
  • [41] Hengfei Li, 2012, Theory and Applications of Formal Argumentation. First International Workshop, TAFA 2011. Revised Selected Papers, P1, DOI 10.1007/978-3-642-29184-5_1
  • [42] Hunter A., 2014, P INT WORKSH DEF AMP
  • [43] Preference-based argumentation: Arguments supporting multiple values
    Kaci, Souhila
    van der Torre, Leendert
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2008, 48 (03) : 730 - 751
  • [44] THE COMPLEXITY OF OPTIMIZATION PROBLEMS
    KRENTEL, MW
    [J]. JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 1988, 36 (03) : 490 - 509
  • [45] GENERALIZATIONS OF OPT-P TO THE POLYNOMIAL HIERARCHY
    KRENTEL, MW
    [J]. THEORETICAL COMPUTER SCIENCE, 1992, 97 (02) : 183 - 198
  • [46] Leite J., 2011, P 22 INT JOINT C ART, P2287
  • [47] Argumentation Mining: State of the Art and Emerging Trends
    Lippi, Marco
    Torroni, Paolo
    [J]. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2016, 16 (02)
  • [48] Product review summarization through question retrieval and diversification
    Liu, Mengwen
    Fang, Yi
    Choulos, Alexander G.
    Park, Dae Hoon
    Hu, Xiaohua
    [J]. INFORMATION RETRIEVAL JOURNAL, 2017, 20 (06): : 575 - 605
  • [49] Matt P., 2010, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, P209
  • [50] Complexity of Nonemptiness in Control Argumentation Frameworks
    Neugebauer, Daniel
    Rothe, Joerg
    Skiba, Kenneth
    [J]. SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, ECSQARU 2021, 2021, 12897 : 117 - 129