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TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources

TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested, and when trusted to perform an action for another, may betray that trust by not performing the action as required. In addition, due to the size of such systems, agents will often interact with other agents with which they have little or no past experience. There is therefore a need to develop a model of trust and reputation that will ensure good interactions among software agents in large scale open systems. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent's trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents, and when there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.
trust, reputation, Probabilistic trust
1387-2532
183-198
Teacy, W. T. L.
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Patel, J.
f2ad7e18-bba0-4432-9d92-203cb5d55ca7
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Luck, M.
da93d46d-96db-4ed6-b54a-bfa53b406af3
Teacy, W. T. L.
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Patel, J.
f2ad7e18-bba0-4432-9d92-203cb5d55ca7
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Luck, M.
da93d46d-96db-4ed6-b54a-bfa53b406af3

Teacy, W. T. L., Patel, J., Jennings, N. R. and Luck, M. (2006) TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources. Autonomous Agents and Multi-Agent Systems, 12 (2), 183-198.

Record type: Article

Abstract

In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested, and when trusted to perform an action for another, may betray that trust by not performing the action as required. In addition, due to the size of such systems, agents will often interact with other agents with which they have little or no past experience. There is therefore a need to develop a model of trust and reputation that will ensure good interactions among software agents in large scale open systems. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent's trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents, and when there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.

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More information

Published date: March 2006
Keywords: trust, reputation, Probabilistic trust
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262129
URI: http://eprints.soton.ac.uk/id/eprint/262129
ISSN: 1387-2532
PURE UUID: 925d5550-7177-4c9d-b447-c1593f3a3b6f

Catalogue record

Date deposited: 24 Mar 2006
Last modified: 02 Dec 2019 21:07

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Contributors

Author: W. T. L. Teacy
Author: J. Patel
Author: N. R. Jennings
Author: M. Luck

University divisions

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