A Survey on Trust Modeling from a Bayesian Perspective

In this paper, we are concerned with trust modeling for agents in networked computing systems. As trust is a subjective notion that is invisible, implicit and uncertain in nature, many attempts have been made to model trust based on Bayesian philosophy, while the field lacks a global comprehensive analysis for variants of Bayesian trust models. We present a study to fill in this gap by providing a comprehensive review of the literature. We show that classic variants of Bayesian models and some alternatives can cast into a high-level generic trust modeling and inference paradigm, and this high-level perspective can act as a general theoretical infrastructure for analyzing ties among existent works and developing novel trust models.