Autoren:	Fink, Sascha Benjamin Zednik, Carlos
Titel:	Meeting in the dark room : Bayesian rational analysis and hierarchical predictive coding
Online-Publikationsdatum:	1-Jun-2017
Erscheinungsdatum:	2017
Sprache des Dokuments:	Englisch
Zusammenfassung/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-Sachgruppe:	100 Philosophie 100 Philosophy
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 05 Philosophie und Philologie
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-637
URN:	urn:nbn:de:hebis:77-publ-566569
Version:	Published version
Publikationstyp:	Buchbeitrag
Nutzungsrechte:	CC BY-ND
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by-nd/4.0/
Quelle:	Philosophy and predictive processing Metzinger, Thomas
Seitenzahl oder Artikelnummer:	226 238
Verlag:	MIND Group
Verlagsort:	Frankfurt am Main
Erscheinungsdatum:	2017
URL der Originalveröffentlichung:	http://dx.doi.org/10.15502/9783958573154
DOI der Originalveröffentlichung:	10.15502/9783958573154
Enthalten in den Sammlungen:	JGU-Publikationen