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A Multi-Dimensional Trust Model for Heterogeneous Contract Observations

A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dimensional contracts. We consider the specific case of an agent attempting to procure a bundle of services that are subject to correlated quality of service failures (e.g. due to use of shared resources or infrastructure), and where the direct experience of other agents within the system consists of contracts over different combinations of these services. To this end, we present a formalism based on the Kalman filter that represents trust as a vector estimate of the probability that each service will be successfully delivered, and a covariance matrix that describes the uncertainty and correlations between these probabilities. We describe how the agents’ direct experiences of contract outcomes can be represented and combined within this formalism, and we empirically demonstrate that our formalism provides significantly better trustworthiness estimates than the alternative of using separate single-dimensional trust models for each separate service (where information regarding the correlations between each estimate is lost).
128-135
Reece, Steven
b79cac5b-bbd2-4038-b47d-3d4c845802aa
Rogers, Alex
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Roberts, Stephen
fef5d01c-92bd-44cf-93f0-923ec24f8875
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Reece, Steven
b79cac5b-bbd2-4038-b47d-3d4c845802aa
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Roberts, Stephen
fef5d01c-92bd-44cf-93f0-923ec24f8875
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Reece, Steven, Rogers, Alex, Roberts, Stephen and Jennings, N. R. (2007) A Multi-Dimensional Trust Model for Heterogeneous Contract Observations. Twenty-Second Conference on Artificial Intelligence (AAAI-07), Canada. 22 - 26 Jul 2007. pp. 128-135 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dimensional contracts. We consider the specific case of an agent attempting to procure a bundle of services that are subject to correlated quality of service failures (e.g. due to use of shared resources or infrastructure), and where the direct experience of other agents within the system consists of contracts over different combinations of these services. To this end, we present a formalism based on the Kalman filter that represents trust as a vector estimate of the probability that each service will be successfully delivered, and a covariance matrix that describes the uncertainty and correlations between these probabilities. We describe how the agents’ direct experiences of contract outcomes can be represented and combined within this formalism, and we empirically demonstrate that our formalism provides significantly better trustworthiness estimates than the alternative of using separate single-dimensional trust models for each separate service (where information regarding the correlations between each estimate is lost).

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More information

Published date: 2007
Additional Information: Event Dates: July 2007
Venue - Dates: Twenty-Second Conference on Artificial Intelligence (AAAI-07), Canada, 2007-07-22 - 2007-07-26
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 263867
URI: https://eprints.soton.ac.uk/id/eprint/263867
PURE UUID: 99679248-cc75-4039-afdc-554ae3a75060

Catalogue record

Date deposited: 11 Apr 2007
Last modified: 19 Jul 2019 22:28

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Contributors

Author: Steven Reece
Author: Alex Rogers
Author: Stephen Roberts
Author: N. R. Jennings

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