Strategical argumentative agent for human persuasion

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

56 Scopus citations


Automated agents should be able to persuade people in the same way people persuade each other - via dialogs. Today, automated persuasion modeling and research use unnatural assumptions regarding persuasive interaction, which creates doubt regarding their applicability for real-world deployment with people. In this work we present a novel methodology for persuading people through argumentative dialogs. Our methodology combines theoretical argumentation modeling, machine learning and Markovian optimization techniques that together result in an innovative agent named SPA. Two extensive field experiments, with more than 100 human subjects, show that SPA is able to persuade people significantly more often than a baseline agent and no worse than people are able to persuade each other.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsGal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hullermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen
PublisherIOS Press BV
Number of pages9
ISBN (Electronic)9781614996712
StatePublished - 2016
Event22nd European Conference on Artificial Intelligence, ECAI 2016 - The Hague, Netherlands
Duration: 29 Aug 20162 Sep 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


Conference22nd European Conference on Artificial Intelligence, ECAI 2016
CityThe Hague

Bibliographical note

Publisher Copyright:
© 2016 The Authors and IOS Press.


We would like to thank Intel Collaboration Research Institute for Computational Intelligence, the ERC (grant # 267523), and Israel Science Foundation (grant # 1488/14) for their support in this research.

FundersFunder number
European Research Council267523
Israel Science Foundation1488/14
Intel Collaboration Research Institute for Computational Intelligence


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