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Strategic Sequences of Arguments for Persuasion Using Decision Trees

Hadoux, E; Hunter, A; (2017) Strategic Sequences of Arguments for Persuasion Using Decision Trees. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). (pp. pp. 1128-1134). Association for the Advancement of Artificial Intelligence (AAAI) (In press). Green open access

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Abstract

Persuasion is an activity that involves one party (the persuader) trying to induce another party (the persuadee) to believe or do something. For this, it can be advantageous forthe persuader to have a model of the persuadee. Recently, some proposals in the field of computational models of argument have been made for probabilistic models of what the persuadee knows about, or believes. However, these developments have not systematically harnessed established notions in decision theory for maximizing the outcome of a dialogue. To address this, we present a general framework for representing persuasion dialogues as a decision tree, and for using decision rules for selecting moves. Furthermore, we provide some empirical results showing how some well-known decision rules perform, and make observations about their general behaviour in the context of dialogues where there is uncertainty about the accuracy of the user model.

Type: Proceedings paper
Title: Strategic Sequences of Arguments for Persuasion Using Decision Trees
Event: AAAI-17: Thirty-first AAAI Conference on Artificial Intelligence, 4-9 February 2017, San Francisco, California, USA
Open access status: An open access version is available from UCL Discovery
Publisher version: https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/v...
Language: English
Additional information: Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Keywords: KRR: Argumentation; Persuation dialogue; KRR: Reasoning with Beliefs
UCL classification: UCL > Provost and Vice Provost Offices
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: http://discovery.ucl.ac.uk/id/eprint/1530088
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