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Subjective logic operators in trust assessment: an empirical study

Author

Listed:
  • Federico Cerutti

    (University of Aberdeen)

  • Lance M. Kaplan

    (US Army Research Laboratory)

  • Timothy J. Norman

    (University of Aberdeen)

  • Nir Oren

    (University of Aberdeen)

  • Alice Toniolo

    (University of Aberdeen)

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.

Suggested Citation

  • Federico Cerutti & Lance M. Kaplan & Timothy J. Norman & Nir Oren & Alice Toniolo, 2015. "Subjective logic operators in trust assessment: an empirical study," Information Systems Frontiers, Springer, vol. 17(4), pages 743-762, August.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-014-9522-5
    DOI: 10.1007/s10796-014-9522-5
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    Cited by:

    1. Carlos Iván Chesñevar & Eva Onaindia & Sascha Ossowski & George Vouros, 2015. "Special issue on agreement technologies," Information Systems Frontiers, Springer, vol. 17(4), pages 707-711, August.

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