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Evaluation of Analogical Arguments by Choquet Integral

Amgoud, Leïla Evaluation of Analogical Arguments by Choquet Integral. (2020) In: 24th European Conference on Artificial Intelligence (ECAI 2020), 8 June 2020 - 12 June 2020 (Santiago de Compostela, Spain).

(Document in English)

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Official URL: http://ecai2020.eu/papers/827_paper.pdf


Analogical arguments are a special type of inductive arguments, whereby perceived similarities are used as a basis to infersome further similarity that has yet to be observed. Although they arenot deductively valid, they may yield conclusions that are very prob-ably true, and may be more cogent than others in persuasive contexts.This paper tackles the question of their evaluation. It starts by dis-cussing their features, how they can be attacked/supported, and keyconsiderations for their evaluation. It argues in particular for the needof semantics that are able to take into account possible interactions(synergies, redundancies) between attackers (respectively support-ers) of any analogical argument. It presents principles that serve asguidelines for choosing candidate semantics. Then, it shows that ex-isting (extension, gradual, ranking) semantics are not suitable as theymay lead to inaccurate assessments. Finally, it redefines three exist-ing semantics using the well-known Choquet Integral for aggregatingattackers/supporter, and discusses their properties.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02942295
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (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)
Laboratory name:
ANR : Agence Nationale de la Recherche (France) - ANITI : Artificial and Natural Intelligence Toulouse Institute (France)
Deposited On:04 Sep 2020 09:20

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