Bayesian inference and “truth”: a comment on Hoffman, Singh, and Prakash

Psychonomic Bulletin and Review

Volumn 22, Issue 6, 2015, Pages 1523-1525

  Feldman, Jacob ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Bayesian modeling; Visual perception

Indexed keywords

EVOLUTION; HUMAN; PERCEPTION; PSYCHOLOGICAL THEORY;

BIOLOGICAL EVOLUTION; HUMANS; PERCEPTION; PSYCHOLOGICAL THEORY;

EID: 84947037787     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/s13423-014-0795-y     Document Type: Article

References (10)

1. Bernardo, J.M., & Smith, A.F.M. (1994). Bayesian theory. Chichester: John Wiley.
2. Box, G.E.P., & Tiao, G.C. (1973). Bayesian inference in statistical analysis. Reading. Massachusetts: Addison-Wesley.
3. Eddington, A.S. (1928). The nature of the physical world. New York: Macmillan.
4. Feldman, J. (1999). Does vision work? Towards a semantics of perception In Lepore, E., & Pylyshyn, Z. (Eds.), What is Cognitive Science? (pp. 208–229). New York: Basil Blackwell.
5. Feldman, J. (2013). Tuning your priors to the world. Topics in Cognitive Science, 5(1), 13–34.
6. Feldman, J. (2014). Bayesian models of perceptual organization In Wagemans, J. (Ed.), Handbook of perceptual organization. Oxford: Oxford University Press.
7. Geisler, W.S., & Diehl, R.L. (2002). Bayesian natural selection and the evolution of perceptual systems (Vol. 357, pp. 419–448).
8. Hoffman, D.D., Singh, M., Prakash, C. (in press). The interface theory of perception. Psychonomic Bulletin and Review.
9. Koenderink, J. (2012). Visual awareness: Clootrans Press.
10. Lindley, D.V. (2006). Understanding uncertainty. Hoboken: John Wiley.