Subjective Trust Inferred by Kalman Filtering vs. a Fuzzy Reputation

Inferring Trust in dynamic and subjective environments is an interesting issue in the way to obtain a complete delegation of human-like decisions in autonomous agents. Complex mathematical algorithms have been proposed by academic researchers to be applied when there are no universally accepted evaluation criteria. In this paper we propose a method based on fuzzy logic that has been successfully compared with several of these alternatives. Our innovative approach is compared with a classic estimation method known as kalman. The convergence of both methods has been tested in a multiagent scenario where the subjectivity of evaluations adopt prefixed variability.