There is a very clear cluster of people working in cognitive science with bayesian and machine learning savvy, centered around Tenenbaum, Griffiths, Kemp, Goodman, Chater, Oaksley, Perfors, Steyvers, et cetera. They often coauthor papers and have something of a unified perspective on The Way to do things (more unified and more coauthory even restricting the field to other bayesian and machine learning savvy folk, like Hinton, Gigerenzer, Friston, MD Lee). It seems like they should have a name. Tengrikemgoochoakpersteyvetcet perhaps? But then, perhaps not.
Anyway, the Tengriks have a new paper for NIPS 2012, part of their ongoing bounded optimality project to show how brains implement rational approximations of rational inference. They show how anchoring bias naturally falls out in situations when there’s a time cost to continuing computation. Pdf here.
There is a very clear cluster of people working in cognitive science with bayesian and machine learning savvy, centered around Tenenbaum, Griffiths, Kemp, Goodman, Chater, Oaksley, Perfors, Steyvers, et cetera. They often coauthor papers and have something of a unified perspective on The Way to do things (more unified and more coauthory even restricting the field to other bayesian and machine learning savvy folk, like Hinton, Gigerenzer, Friston, MD Lee). It seems like they should have a name. Tengrikemgoochoakpersteyvetcet perhaps? But then, perhaps not.
Anyway, the Tengriks have a new paper for NIPS 2012, part of their ongoing bounded optimality project to show how brains implement rational approximations of rational inference. They show how anchoring bias naturally falls out in situations when there’s a time cost to continuing computation. Pdf here.
Not a revolutionary idea, but still a nice paper.