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Bringing forward trust from social systems to system-to-system level can lead to efficiency and robustness improvements in self-organising complex systems. In this paper, we show how trust can enhance the matchmaking and robustness regarding malicious nodes in a Desktop Grid and Volunteer Computing System (DGVCS). We give the agent a suited degree of autonomy to continuously adapt to their environment...
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...
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