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Certified Reputation - How an Agent Can Trust a Stranger

Certified Reputation - How an Agent Can Trust a Stranger
Certified Reputation - How an Agent Can Trust a Stranger
Current computational trust models are usually built either on an agent's direct experience of an interaction partner (interaction trust) or reports provided by third parties about their experiences with a partner (witness reputation). However, both of these approaches have their limitations. Models using direct experience often result in poor performance until an agent has had a sufficient number of interactions to build up a reliable picture of a particular partner and witness reports rely on self-interested agents being willing to freely share their experience. To this end, this paper presents Certified Reputation (CR), a novel model of trust that can overcome these limitations. Specifically, CR works by allowing agents to actively provide third-party references about their previous performance as a means of building up the trust in them of their potential interaction partners. By so doing, trust relationships can quickly be established with very little cost to the involved parties. Here we empirically evaluate CR and show that it helps agents pick better interaction partners more quickly than models that do not incorporate this form of trust.
Trust, Reputation, Multi-Agent Systems
1217-1224
Huynh, T.D.
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, N.R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Huynh, T.D.
ddea6cf3-5a82-4c99-8883-7c31cf22dd36
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Shadbolt, N.R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Huynh, T.D., Jennings, N. R. and Shadbolt, N.R. (2006) Certified Reputation - How an Agent Can Trust a Stranger. The Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Japan. 08 - 12 May 2006. pp. 1217-1224 .

Record type: Conference or Workshop Item (Paper)

Abstract

Current computational trust models are usually built either on an agent's direct experience of an interaction partner (interaction trust) or reports provided by third parties about their experiences with a partner (witness reputation). However, both of these approaches have their limitations. Models using direct experience often result in poor performance until an agent has had a sufficient number of interactions to build up a reliable picture of a particular partner and witness reports rely on self-interested agents being willing to freely share their experience. To this end, this paper presents Certified Reputation (CR), a novel model of trust that can overcome these limitations. Specifically, CR works by allowing agents to actively provide third-party references about their previous performance as a means of building up the trust in them of their potential interaction partners. By so doing, trust relationships can quickly be established with very little cost to the involved parties. Here we empirically evaluate CR and show that it helps agents pick better interaction partners more quickly than models that do not incorporate this form of trust.

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More information

Published date: May 2006
Venue - Dates: The Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Japan, 2006-05-08 - 2006-05-12
Keywords: Trust, Reputation, Multi-Agent Systems
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262587
URI: http://eprints.soton.ac.uk/id/eprint/262587
PURE UUID: 6f32f6c4-c7c9-47c5-b41b-66b8c8c74e0d
ORCID for T.D. Huynh: ORCID iD orcid.org/0000-0003-4937-2473

Catalogue record

Date deposited: 16 May 2006
Last modified: 17 Dec 2019 01:47

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Contributors

Author: T.D. Huynh ORCID iD
Author: N. R. Jennings
Author: N.R. Shadbolt

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