Trust model for open ubiquitous agent systems

Trust management model that we present is adapted for ubiquitous devices cooperation, rather than for classic client-supplier relationship. We use fuzzy numbers to represent trust, to capture both the trust value and its uncertainty. The model contains the trust representation part, decision-making part and a learning part. In our representation, we define the trusted agents as a type-2 fuzzy set. In a decision-making part, we use the methods from the Jazzy rule computation and fuzzy control domain to take trusting decision. For trust learning, we use a strictly iterative approach, well adapted to constrained environments. We verify, our model in a multi-agent simulation where the agents in the community learn to identify, defecting members and progressively refuse to cooperate with them. Our simulation contains significant background noise to validate model robustness.