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Strategic Dialogical Argumentation using Multi-Criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments

Hadoux, E; Hunter, A; Corrégé, J-B; (2018) Strategic Dialogical Argumentation using Multi-Criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments. In: Ferrarotti, F and Woltran, S, (eds.) Foundations of Information and Knowledge Systems. (pp. pp. 207-224). Springer: Cham, Switzerland. Green open access

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Abstract

Participants in dialogical argumentation often make strategic choices of move, for example to maximize the probability that they will persuade the other opponents. Multiple dimensions of information about the other agents (e.g., the belief and likely emotional response that the other agents might have in the arguments) might be used to make this strategic choice. To support this, we present a framework with implementation for multi-criteria decision making for strategic argumentation. We provide methods to improve the computational viability of the framework, and analyze these methods theoretically and empirically. We finally present decision rules supported by the psychology literature and evidence using human experiments.

Type: Proceedings paper
Title: Strategic Dialogical Argumentation using Multi-Criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments
Event: International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2018)
ISBN-13: 978-3-319-90049-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-90050-6_12
Publisher version: https://doi.org/10.1007/978-3-319-90050-6_12
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10047348
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