Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-637
Authors: Fink, Sascha Benjamin
Zednik, Carlos
Title: Meeting in the dark room : Bayesian rational analysis and hierarchical predictive coding
Online publication date: 1-Jun-2017
Language: english
Abstract: At least two distinct modeling frameworks contribute to the view that mind and brain are Bayesian: Bayesian Rational Analysis (BRA) and Hierarchical Predictive Coding (HPC). What is the relative contribution of each, and how exactly do they relate? In order to answer this question, we compare the way in which these two modeling frameworks address different levels of analysis within Marr’s tripartite hierarchy for explanation in cognitive science. Whereas BRA answers questions at the computational level only, many HPC-theorists answer questions at the computational, algorithmic, and implementational levels simultaneously. Given that all three levels of analysis need to be addressed in order to explain a behavioral or cognitive phenomenon, HPC seems to deliver more complete explanations. Nevertheless, BRA is well-suited for providing a solution to the dark room problem, a major theoretical obstacle for HPC. A combination of the two approaches also combines the benefits of an embodied-externalistic approach to resolving the dark room problem with the idea of a persisting evidentiary border beyond which matters are out of cognitive reach. For this reason, the development of explanations spanning all three Marrian levels within the general Bayesian approach will require combining the BRA and HPC modeling frameworks.
DDC: 100 Philosophie
100 Philosophy
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 05 Philosophie und Philologie
Place: Mainz
DOI: http://doi.org/10.25358/openscience-637
Version: Published version
Publication type: Buchbeitrag
License: CC-BY-ND
Information on rights of use: https://creativecommons.org/licenses/by-nd/4.0/
Citation: Philosophy and predictive processing
Metzinger, Thomas
Pages or article number: 226
238
Publisher: MIND Group
Publisher place: Frankfurt am Main
Issue date: 2017
Publisher's URL: http://dx.doi.org/10.15502/9783958573154
Appears in collections:JGU-Publikationen

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