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Measuring the strength of threats, rewards, and appeals in persuasive negotiation dialogues

Published online by Cambridge University Press:  12 November 2020

Mariela Morveli-Espinoza Open the ORCID record for Mariela Morveli-Espinoza [Opens in a new window] ,
Juan Carlos Nieves Open the ORCID record for Juan Carlos Nieves [Opens in a new window]  and
Cesar Augusto Tacla Open the ORCID record for Cesar Augusto Tacla [Opens in a new window]
Mariela Morveli-Espinoza
Affiliation:
Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology, Paraná (UTFPR), Curitiba, Brazil, e-mails: [email protected]; [email protected]
Juan Carlos Nieves
Affiliation:
Department of Computing Science of Umeå University, Umeå, Sweden, e-mail: [email protected]
Cesar Augusto Tacla
Affiliation:
Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology, Paraná (UTFPR), Curitiba, Brazil, e-mails: [email protected]; [email protected]
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Abstract

The aim of this article is to propose a model for the measurement of the strength of rhetorical arguments (i.e., threats, rewards, and appeals), which are used in persuasive negotiation dialogues when a proponent agent tries to convince his opponent to accept a proposal. Related articles propose a calculation based on the components of the rhetorical arguments, that is, the importance of the goal of the opponent and the certainty level of the beliefs that make up the argument. Our proposed model is based on the pre-conditions of credibility and preferability stated by Guerini and Castelfranchi. Thus, we suggest the use of two new criteria for the strength calculation: the credibility of the proponent and the status of the goal of the opponent in the goal processing cycle. We use three scenarios in order to illustrate our proposal. Besides, the model is empirically evaluated and the results demonstrate that the proposed model is more efficient than previous works of the state of the art in terms of numbers of negotiation cycles, number of exchanged arguments, and number of reached agreements.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 35 , 2020 , e36
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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