Subjective logic operators in trust assessment: an empirical study

Federico Cerutti; Lance M. Kaplan; Timothy J. Norman; Nir Oren; Alice Toniolo

doi:10.1007/s10796-014-9522-5

Subjective logic operators in trust assessment: an empirical study

Federico Cerutti^*, Lance M. Kaplan, Timothy J. Norman, Nir Oren, Alice Toniolo

^*Corresponding author for this work

Computing Science

United States Army Research Laboratory

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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.

Original language	English
Pages (from-to)	743-762
Number of pages	20
Journal	Information Systems Frontiers
Volume	17
Issue number	4
Early online date	23 Aug 2014
DOIs	https://doi.org/10.1007/s10796-014-9522-5
Publication status	Published - 1 Aug 2015

Bibliographical note

Acknowledgments
The authors thank the anonymous reviewers for their helpful comments.

Research was sponsored by US Army Research laboratory and the UK Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory, the U.S. Government, the UKMinistry of Defense, or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.

Keywords

Information fusion
Trust and reputation
Uncertain reasoning

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Cite this

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abstract = "Computational trust mechanisms aim to produce trust ratings from both direct and indirect information about agents{\textquoteright} 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.",

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Subjective logic operators in trust assessment: an empirical study

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Keywords

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