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FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems

FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems
FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems
Trust and reputation are central to effective interactions in open multi-agent systems in which agents, that are owned by a variety of stakeholders, can enter and leave the system at any time. This openness means existing trust and reputation models cannot readily be used. To this end, we present FIRE, a trust and reputation model that integrates a number of information sources to produce a comprehensive assessment of an agent’s likely performance. Specifically, FIRE incorporates interaction trust, role-based trust, witness reputation, and certified reputation to provide a trust metric in virtually all circumstances. FIRE is empirically benchmarked and is shown to help agents effectively select appropriate interaction partners
18-22
Huynh, Trung Dong
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Huynh, Trung Dong
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Huynh, Trung Dong, Jennings, Nicholas R. and Shadbolt, Nigel (2004) FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems. 16th European Conference on Artificial Intelligence, Spain. pp. 18-22 .

Record type: Conference or Workshop Item (Paper)

Abstract

Trust and reputation are central to effective interactions in open multi-agent systems in which agents, that are owned by a variety of stakeholders, can enter and leave the system at any time. This openness means existing trust and reputation models cannot readily be used. To this end, we present FIRE, a trust and reputation model that integrates a number of information sources to produce a comprehensive assessment of an agent’s likely performance. Specifically, FIRE incorporates interaction trust, role-based trust, witness reputation, and certified reputation to provide a trust metric in virtually all circumstances. FIRE is empirically benchmarked and is shown to help agents effectively select appropriate interaction partners

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More information

Published date: 2004
Additional Information: Event Dates: 2004
Venue - Dates: 16th European Conference on Artificial Intelligence, Spain, 2004-01-01
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 259559
URI: https://eprints.soton.ac.uk/id/eprint/259559
PURE UUID: 62003bc3-e863-4591-8508-af1d5c02530a
ORCID for Trung Dong Huynh: ORCID iD orcid.org/0000-0003-4937-2473

Catalogue record

Date deposited: 06 Sep 2004
Last modified: 06 Jun 2018 12:44

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Contributors

Author: Trung Dong Huynh ORCID iD
Author: Nicholas R. Jennings
Author: Nigel Shadbolt

University divisions

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