Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the information needed by agents to efficiently perform partner selection in uncertain situations. In this paper, by taking advantage of the non-monotonic knowledge representation and reasoning mechanisms of defeasible logic, a reputation-Oriented Agent model is proposed, which is capable of accepting policy guidance, the real-time rule modifications, and handling the run-time rule conflicts. This agent is both autonomous and controllable, and is able to cooperate with other Agents via contracts in an open and dynamic environment.
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