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Trust strategies for ART Testbed

Kafalı, Özgur, Yolum, Pinar (2006) Trust strategies for ART Testbed. In: Proceedings of the 9th International Workshop on Trust in Agent Societies. . pp. 43-49. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)

Abstract

Recently several trust models have been developed.

However, different trust models make different assumptions

about agents’ environments, making it difficult to evaluate and

compare different models. An accurate examination requires

different models to be tested on the same environment and

evaluated using precise metrics. For this reason, we adopt wellknown

trust concepts and formulate them as agent strategies

that can be applied in the Agent Reputation and Trust (ART)

Testbed Simulation Environment. We devise trust strategies that

can be applied at different stages of agents’ interactions. We study

different metrics for each stage and compare various strategies

using these metrics.

Item Type: Conference or workshop item (Proceeding)
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 04 Feb 2018 22:05 UTC
Last Modified: 24 Jul 2019 10:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65901 (The current URI for this page, for reference purposes)
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