title: Bayesian inference and "truth": a comment on Hoffman, Singh, and Prakash.
abstract: Hoffman, Singh, and Prakash (in press) argue that veridicality is neither required nor achieved by the visual system, and propose a new framework in which the literal truth of perceptual inferences plays no role. In this brief comment, I concur with and advocate their basic position, though I go on to argue that Bayesian inference already embodies a similar epistemological stance.
authors.affiliation: Department of Psychology, Center for Cognitive Science, Rutgers University - New Brunswick, 152 Frelinghuysen Rd, Piscataway Township, NJ, 08854, USA. jacob@ruccs.rutgers.edu.
authors.forename: Jacob
authors.initials: J
authors.lastname: Feldman
mesh_terms: D005075:Biological Evolution; D006801:Humans; D010465:Perception; D011582:Psychological Theory
keywords: Bayesian modeling; Visual perception