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. 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.
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