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A Probabilistic Trust Model for Handling Inaccurate Reputation Sources

A Probabilistic Trust Model for Handling Inaccurate Reputation Sources
A Probabilistic Trust Model for Handling Inaccurate Reputation Sources
This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The following are key drivers for our model: (1) agents may be self-interested and may provide false accounts of experiences with other agents if it is beneficial for them to do so; (2) agents will need to interact with other agents with which they have no past experience. 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. 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, multi-agent systems
193-209
Patel, Jigar
bac8842a-1e82-4416-9798-f21cbec10606
Teacy, W. T. Luke
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Luck, Michael
94f6044f-6353-4730-842a-0334318e6123
Herrmann, P.
3abcc75e-abc6-4251-ab01-4b72b38b0107
Issarny, V.
5ca54fe3-7d4e-400c-88ff-46cfcab2397c
Shiu, S.
5b5b9995-5af3-491e-9dab-de58f4f7d846
Patel, Jigar
bac8842a-1e82-4416-9798-f21cbec10606
Teacy, W. T. Luke
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Luck, Michael
94f6044f-6353-4730-842a-0334318e6123
Herrmann, P.
3abcc75e-abc6-4251-ab01-4b72b38b0107
Issarny, V.
5ca54fe3-7d4e-400c-88ff-46cfcab2397c
Shiu, S.
5b5b9995-5af3-491e-9dab-de58f4f7d846

Patel, Jigar, Teacy, W. T. Luke, Jennings, N. R. and Luck, Michael (2005) A Probabilistic Trust Model for Handling Inaccurate Reputation Sources. Herrmann, P., Issarny, V. and Shiu, S. (eds.) Third International Conference on Trust Management, France. 23 - 26 May 2005. pp. 193-209 .

Record type: Conference or Workshop Item (Paper)

Abstract

This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The following are key drivers for our model: (1) agents may be self-interested and may provide false accounts of experiences with other agents if it is beneficial for them to do so; (2) agents will need to interact with other agents with which they have no past experience. 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. 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: 2005
Additional Information: copyright - Springer-Verlag Event Dates: 23-26 May, 2005
Venue - Dates: Third International Conference on Trust Management, France, 2005-05-23 - 2005-05-26
Keywords: trust, multi-agent systems
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 260581
URI: http://eprints.soton.ac.uk/id/eprint/260581
PURE UUID: 81fe7451-6ac8-4024-84dc-3bd6883c1d5d

Catalogue record

Date deposited: 02 Mar 2005
Last modified: 16 Dec 2019 20:44

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