Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-637Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fink, Sascha Benjamin | - |
| dc.contributor.author | Zednik, Carlos | - |
| dc.date.accessioned | 2017-06-01T10:35:17Z | - |
| dc.date.available | 2017-06-01T12:35:17Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/639 | - |
| dc.description.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. | en_GB |
| dc.language.iso | eng | - |
| dc.rights | CC BY-ND | de_DE |
| dc.rights.uri | https://creativecommons.org/licenses/by-nd/4.0/ | - |
| dc.subject.ddc | 100 Philosophie | de_DE |
| dc.subject.ddc | 100 Philosophy | en_GB |
| dc.title | Meeting in the dark room : Bayesian rational analysis and hierarchical predictive coding | en_GB |
| dc.type | Buchbeitrag | de_DE |
| dc.identifier.urn | urn:nbn:de:hebis:77-publ-566569 | - |
| dc.identifier.doi | http://doi.org/10.25358/openscience-637 | - |
| jgu.type.dinitype | bookPart | - |
| jgu.type.version | Published version | en_GB |
| jgu.type.resource | Text | - |
| jgu.organisation.department | FB 05 Philosophie und Philologie | - |
| jgu.organisation.number | 7920 | - |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | - |
| jgu.rights.accessrights | openAccess | - |
| jgu.book.title | Philosophy and predictive processing | - |
| jgu.book.editor | Metzinger, Thomas | - |
| jgu.pages.start | 226 | - |
| jgu.pages.end | 238 | - |
| jgu.publisher.year | 2017 | - |
| jgu.publisher.name | MIND Group | - |
| jgu.publisher.place | Frankfurt am Main | - |
| jgu.publisher.uri | http://dx.doi.org/10.15502/9783958573154 | - |
| jgu.organisation.place | Mainz | - |
| jgu.subject.ddccode | 100 | - |
| opus.date.accessioned | 2017-06-01T10:35:17Z | - |
| opus.date.modified | 2017-06-02T08:12:35Z | - |
| opus.date.available | 2017-06-01T12:35:17 | - |
| opus.subject.dfgcode | 00-000 | - |
| opus.organisation.string | FB 05: Philosophie und Philologie: Philosophisches Seminar | de_DE |
| opus.identifier.opusid | 56656 | - |
| opus.relation.ispartofcollection | Philosophy and predictive processing | de_DE |
| opus.institute.number | 0508 | - |
| opus.metadataonly | false | - |
| opus.type.contenttype | Keine | de_DE |
| opus.type.contenttype | None | en_GB |
| jgu.publisher.doi | 10.15502/9783958573154 | |
| jgu.organisation.ror | https://ror.org/023b0x485 | |
| Appears in collections: | JGU-Publikationen | |
