The Agent Reputation and Trust (ART) Testbed architecture

Karen K. Fullam, Tomas B. Klos, Guillaume Muller, Jordi Sabater-Mir, Zvi Topol, K. Suzanne Barber, Jeffrey Rosenschein, Laurent Vercouter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


The Agent Reputation and Trust (ART) Testbed initiative has been launched with the goal of establishing a testbed for agent reputation- and trustrelated technologies. This testbed serves in two roles: (1) as a competition forum in which researchers can compare their technologies against objective metrics, and (2) as a suite of tools with flexible parameters, allowing researchers to perform customizable, easily-repeatable experiments. In the testbed's art appraisal domain, agents, who valuate paintings for clients, may gather opinions from other agents to produce accurate appraisals. This paper first gives a brief overview of the testbed domain problem to orient the reader to the game rules. A discussion of the ART Testbed implementation architecture is presented, explaining the functionality of the testbed's Game Server, Simulation Engine, Database, User Interfaces, and Agent Skeleton.

Original languageAmerican English
Title of host publicationArtificial Intelligence Research and Development
EditorsBeatriz Lopez, Joaquim Melendez, Petia Radeva, Jordi Vitria
PublisherIOS Press BV
Number of pages8
ISBN (Print)1586035606, 9781586035600
StatePublished - 2005
Event8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Duration: 26 Oct 200528 Oct 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


Conference8th Catalan Conference on Artificial Intelligence, CCIA 2005

Bibliographical note

Funding Information:
Jordi Sabater enjoys a Sixth Framework Programme Marie Curie Intra-European fellowship, contract No. MEIF-CT-2003-500573. Tomas Klos is working on the CIM-project on Cybernetic Incident Management, sponsored by the Dutch government (SENTER) under project number TSIT2021. Research by Karen Fullam is sponsored in part by the Defense Advanced Research Project Agency (DARPA) Taskable Agent Software Kit (TASK) program, F30602-00-2-0588.


  • Computational trust and reputation models
  • Multi-agent systems
  • Testbed


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