Subjective logic operators in trust assessment: an empirical study

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 opera...

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Bibliographic Details
Published in:Information systems frontiers 2015-08, Vol.17 (4), p.743-762
Main Authors: Cerutti, Federico, Kaplan, Lance M., Norman, Timothy J., Oren, Nir, Toniolo, Alice
Format: Article
Language:English
Subjects:
Analysis
Business and Management
Cognition & reasoning
Computation
Construction
Control
Discounts
Empirical analysis
Information systems
IT in Business
Logic
Management of Computing and Information Systems
Operations Research/Decision Theory
Operators
Reputations
Semantics
Sensors
Studies
Systems Theory
Trust
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Summary: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.
ISSN:1387-3326
1572-9419
DOI:10.1007/s10796-014-9522-5