A Dynamic Model of Trust in Dialogues

Gideon Ogunniye*, Alice Toniolo, Nir Oren

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

In human interactions, trust is regularly updated during a discussion. For example, if someone is caught lying, any further utterances they make will be discounted, until trust is regained. This paper seeks to model such behaviour by introducing a dialogue game which operates over several iterations, with trust updates occurring at the end of each iteration. In turn, trust changes are computed based on intuitive properties, captured through three rules. By representing agent knowledge within a preference-based argumentation framework, we demonstrate how trust can change over the course of a dialogue.

Original languageEnglish
Title of host publicationTheory and Applications of Formal Argumentation
Subtitle of host publicationTAFA 2017
EditorsElizabeth Black, Sanjay Modgil, Nir Oren
Place of PublicationCham
PublisherSpringer Verlag
Pages211-226
Number of pages16
ISBN (Electronic)978-3-319-75553-3
ISBN (Print)9783319755526
DOIs
Publication statusPublished - 2018
Event4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017: (TAFA 2017) - Melbourne, Australia
Duration: 19 Aug 201720 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10757 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Theory and Applications of Formal Argumentation, TAFA 2017
CountryAustralia
CityMelbourne
Period19/08/1720/08/17

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  • Cite this

    Ogunniye, G., Toniolo, A., & Oren, N. (2018). A Dynamic Model of Trust in Dialogues. In E. Black, S. Modgil, & N. Oren (Eds.), Theory and Applications of Formal Argumentation: TAFA 2017 (pp. 211-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10757 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-75553-3_15