Trust in context

Abhaya C. Nayak*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper examines how Spohn's Ordinal Conditional Functions, which are used to model belief dynamics, when appropriately adapted and interpreted, can fruitfully model the dynamics of trust. In this framework, trust is defined in terms of lack of trust (trust deficit) which is taken to be a primitive notion. It explores the notion of context sensitive trust, i.e., how in different domains of human interaction, one agent might trust another agent in varying degrees, and suggests the dynamics of such trust.

Original languageEnglish
Title of host publicationAI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Proceedings
EditorsMichael Thielscher, Dongmo Zhang
Place of PublicationHeidelberg, Germany
PublisherSpringer, Springer Nature
Pages517-529
Number of pages13
Volume7691 LNAI
ISBN (Print)9783642351006
DOIs
Publication statusPublished - 2012
Event25th Australasian Joint Conference on Artificial Intelligence, AI 2012 - Sydney, NSW, Australia
Duration: 4 Dec 20127 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7691 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other25th Australasian Joint Conference on Artificial Intelligence, AI 2012
CountryAustralia
CitySydney, NSW
Period4/12/127/12/12

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Cite this

Nayak, A. C. (2012). Trust in context. In M. Thielscher, & D. Zhang (Eds.), AI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Proceedings (Vol. 7691 LNAI, pp. 517-529). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7691 LNAI). Heidelberg, Germany: Springer, Springer Nature. https://doi.org/10.1007/978-3-642-35101-3_44