Reputation evaluation method for open multi-agent systems

A reputation evaluation method based on multi-dimensional information representation and correlative algorithm is proposed for open multi-agent systems. First, a vector model is established to represent the reputation related information. Second, a vector based reputation model "TRUST" is put forward to evaluate the reputation of agents. Finally, a correlative algorithm for selecting the most appropriate service provider is proposed. Simulation results indicate that the method can quickly and accurately to achieve the aim of adaptive immunity to reputation fraud and improving the average gain that service consumer agents obtained.