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Aggregation in Value-Based Argumentation Frameworks

Lisowski, Grzegorz and Doutre, Sylvie and Grandi, Umberto Aggregation in Value-Based Argumentation Frameworks. (2019) In: 17th Conference on Theoretical Aspects of Rationality and Knowledge (TARK 2019), 17 July 2019 - 19 July 2019 (Toulouse, France).

(Document in English)

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Official URL: https://doi.org/10.4204/EPTCS.297.20


Value-based argumentation enhances a classical abstract argumentation graph - in which arguments are modelled as nodes connected by directed arrows called attacks - with labels on arguments, called values, and an ordering on values, called audience, to provide a more fine-grained justification of the attack relation. With more than one agent facing such an argumentation problem, agents may differ in their ranking of values. When needing to reach a collective view, such agents face a dilemma between two equally justifiable approaches: aggregating their views at the level of values, or aggregating their attack relations, remaining therefore at the level of the graphs. We explore the strengths and limitations of both approaches, employing techniques from preference aggregation and graph aggregation, and propose a third possibility aggregating rankings extracted from given attack relations.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Proceedings TARK 2019, arXiv:1907.08335 The original PDF of the article can be found at: https://arxiv.org/pdf/1907.09113v1.pdf
HAL Id:hal-02421556
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Warwick (UNITED KINGDOM)
Laboratory name:
Deposited On:13 Dec 2019 15:59

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