Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-635
Authors: Drayson, Zoe
Title: Modularity and the predictive mind
Online publication date: 1-Jun-2017
Language: english
Abstract: Modular approaches to the architecture of the mind claim that some mental mechanisms, such as sensory input processes, operate in special-purpose subsystems that are functionally independent from the rest of the mind. This assumption of modularity seems to be in tension with recent claims that the mind has a predictive architecture. Predictive approaches propose that both sensory processing and higher-level processing are part of the same Bayesian information-processing hierarchy, with no clear boundary between perception and cognition. Furthermore, it is not clear how any part of the predictive architecture could be functionally independent, given that each level of the hierarchy is influenced by the level above. Both the assumption of continuity across the predictive architecture and the seeming non-isolability of parts of the predictive architecture seem to be at odds with the modular approach. I explore and ultimately reject the predictive approach’s apparent commitments to continuity and non-isolation. I argue that predictive architectures can be modular architectures, and that we should in fact expect predictive architectures to exhibit some form of modularity.
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-635
URN: urn:nbn:de:hebis:77-publ-566544
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: 196
207
Publisher: MIND Group
Publisher place: Frankfurt am Main
Issue date: 2017
Publisher URL: http://dx.doi.org/10.15502/9783958573130
Publisher DOI: 10.15502/9783958573130
Appears in collections:JGU-Publikationen

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