Comparing Bayesian and non-Bayesian accounts of human confidence reports
Comparing Bayesian and non-Bayesian accounts of human confidence reports is a scholarly work by William T Adler and Wei Ji Ma, published in 2018 in ''PLOS Computational Biology''. The main subjects of the publication include Bayesian statistics, computer science, artificial intelligence, inference, Bayesian inference, executive functions, Bayesian average, flexibility, visual perception, machine learning, Bayesian probability, molecular biology, categorization, and frequentist probability. The authors find that subjects do take sensory uncertainty into account when reporting confidence, suggesting that brain areas involved in reporting confidence can access low-level representations of sensory uncertainty, a prerequisite of Bayesian inference.