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This paper describes a generic architecture for agents that allows agents to adapt to dynamic environments by using a trust mechanism in conjunction with machine learning. Central parts of the architecture are an Observer/Controller loop and a trust aggregation mechanism. It is shown how this proposed architecture can be applied to agents that act on behalf of a user in a decentralised desktop grid...