Subjective logic operators in trust assessment: an empirical study

Cerutti, Federico ORCID: https://orcid.org/0000-0003-0755-0358, Kaplan, Lance M., Norman, Timothy J., Oren, Nir and Toniolo, Alice 2015. Subjective logic operators in trust assessment: an empirical study. Information Systems Frontiers 17 (4) , pp. 743-762. 10.1007/s10796-014-9522-5

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Abstract

Computational trust mechanisms aim to produce trust ratings from both direct and indirect information about agents' behaviour. Subjective Logic (SL) has been widely adopted as the core of such systems via its fusion and discount operators. In recent research we revisited the semantics of these operators to explore an alternative, geometric interpretation. In this paper we present principled desiderata for discounting and fusion operators in SL. Building upon this we present operators that satisfy these desirable properties, including a family of discount operators. We then show, through a rigorous empirical study, that specific, geometrically interpreted, operators significantly outperform standard SL operators in estimating ground truth. These novel operators offer real advantages for computational models of trust and reputation, in which they may be employed without modifying other aspects of an existing system.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer Verlag (Germany)
ISSN:	1387-3326
Date of First Compliant Deposit:	3 March 2020
Last Modified:	14 Nov 2023 18:17
URI:	https://orca.cardiff.ac.uk/id/eprint/85189

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