Behavioral and Brain Sciences



Short Communication

Universal Bayesian inference?


David Dowe a1 and Graham Oppy a2
a1 Department of Computer Science, Monash University, Clayton, Vic 3800, Australia David.Dowe@infotech.monash.edu.au http://www.cs.monash.edu.au/~dld/
a2 Department of Philosophy, Monash University, Clayton, Vic 3800, Australia Graham.Oppy@arts.monash.edu.au

Abstract

We criticise Shepard's notions of “invariance” and “universality,” and the incorporation of Shepard's work on inference into the general framework of his paper. We then criticise Tenenbaum and Griffiths' account of Shepard (1987b), including the attributed likelihood function, and the assumption of “weak sampling.” Finally, we endorse Barlow's suggestion that minimum message length (MML) theory has useful things to say about the Bayesian inference problems discussed by Shepard and Tenenbaum and Griffiths. [Barlow; Shepard; Tenenbaum & Griffiths]