Hostname: page-component-6766d58669-fx4k7 Total loading time: 0 Render date: 2026-05-15T13:19:26.638Z Has data issue: false hasContentIssue false

Representation, abstraction, and simple-minded sophisticates

Published online by Cambridge University Press:  19 June 2020

Peter Dayan*
Affiliation:
Max-Planck-Gesellschaft, Max Planck-Ring 8, 72076Tübingen, Germany. dayan@tue.mpg.de https://www.kyb.tuebingen.mpg.de/publication-search/60427?person=persons217460

Abstract

Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Information

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable