An Adaptive Dempster-Shafer Theory of Evidence Based Trust Model in Multiagent Systems

Multiagent systems (MASs) have a wide range of industrial applications due to agents’ advantages. However, because the dynamic behaviors, it is challenge ensure quality service they present. In this paper, address problem, we propose an adaptive agent trust estimation model where agents may decide go from genuine malicious or other way around. proposed model, both direct and indirect reputation are used. derived experience third-party must reasonable confidence be useful. The introduces near-perfect measure that utilizes consistency, credibility, certainty capture confidence. Moreover, incentivized contribute correct information (to honest) through credit mechanism in model. Simulation experiments conducted evaluate model’s performance against some previous models reported literature.