Bayesian theories of conditioning in a changing world.

@article{citeulike:733233, abstract = {The recent flowering of Bayesian approaches invites the re-examination of classic issues in behavior, even in areas as venerable as Pavlovian conditioning. A statistical account can offer a new, principled interpretation of behavior, and previous experiments and theories can inform many unexplored aspects of the Bayesian enterprise. Here we consider one such issue: the finding that surprising events provoke animals to learn faster. We suggest that, in a statistical account of conditioning, surprise signals change and therefore uncertainty and the need for new learning. We discuss inference in a world that changes and show how experimental results involving surprise can be interpreted from this perspective, and also how, thus understood, these phenomena help constrain statistical theories of animal and human learning.}, address = {D\'{e}partement d'Informatique et de Recherche Op\'{e}rationnelle, Universit\'{e} de Montr\'{e}al, Montr\'{e}al QC H3C 3J7, Canada.}, author = {Courville, Aaron C C. and Daw, Nathaniel D D. and Touretzky, David S S. }, citeulike-article-id = {733233}, doi = {10.1016/j.tics.2006.05.004}, issn = {1364-6613}, journal = {Trends Cogn Sci}, keywords = {bayes, baysian, conditioning, inference, learning}, month = {June}, posted-at = {2006-07-24 14:48:33}, priority = {2}, title = {Bayesian theories of conditioning in a changing world.}, url = {http://dx.doi.org/10.1016/j.tics.2006.05.004}, year = {2006} }

TY - JOUR ID - citeulike:733233 L3 - citeulike-article-id:733233 TI - Bayesian theories of conditioning in a changing world. JF - Trends Cogn Sci AD - Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal QC H3C 3J7, Canada. SN - 1364-6613 N2 - The recent flowering of Bayesian approaches invites the re-examination of classic issues in behavior, even in areas as venerable as Pavlovian conditioning. A statistical account can offer a new, principled interpretation of behavior, and previous experiments and theories can inform many unexplored aspects of the Bayesian enterprise. Here we consider one such issue: the finding that surprising events provoke animals to learn faster. We suggest that, in a statistical account of conditioning, surprise signals change and therefore uncertainty and the need for new learning. We discuss inference in a world that changes and show how experimental results involving surprise can be interpreted from this perspective, and also how, thus understood, these phenomena help constrain statistical theories of animal and human learning. KW - bayes KW - baysian KW - conditioning KW - inference KW - learning AU - Courville, Aaron C AU - Daw, Nathaniel D AU - Touretzky, David S PY - 2006/06/20/ UR - http://dx.doi.org/10.1016/j.tics.2006.05.004 ER -