Modeling experience in Bayesian networks as a method of studying intuition

The article focuses on possibilities of studying phenomena of intuition by means of empirical and statistical modeling in Bayesian networks. Intuition is considered from the perspective of information processing cognitive systems. Such understanding gives insight into a set of characteristics of intuition that are hard to study by means of traditional methods of psychological measurement. Modeling of experience in Bayesian networks is proposed as a solution to this problem.