The agent reputation and trust (ART) testbed

  • Authors:
  • Karen K. Fullam;Tomas Klos;Guillaume Muller;Jordi Sabater-Mir;K. Suzanne Barber;Laurent Vercouter

  • Affiliations:
  • The University of Texas at Austin;Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands;École Nationale Supérieure des Mines, Saint-Étienne, France;Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain;The University of Texas at Austin;École Nationale Supérieure des Mines, Saint-Étienne, France

  • Venue:
  • iTrust'06 Proceedings of the 4th international conference on Trust Management
  • Year:
  • 2006

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Abstract

The Agent Reputation and Trust (ART) Testbed initiative has been launched with the goal of establishing a testbed for agent reputation- and trust-related technologies. The art 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 artwork appraisal domain, agents, who valuate paintings for clients, may purchase opinions and reputation information from other agents to produce accurate appraisals. The art Testbed features useful data collection tools for storing, downloading, and replaying game data for experimental analysis.