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  Interaction-dominant causation in mind and brain, and Its implication for questions of generalization and replication

Wallot, S., & Kelty-Stephen, D. G. (2018). Interaction-dominant causation in mind and brain, and Its implication for questions of generalization and replication. Minds and machines: journal for artificial intelligence, philosophy and cognitive science, 28(2), 353-374. doi:10.1007/s11023-017-9455-0.

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Interaction-dominant causation in mind and brain, and its implication for questions of generalization and replication.pdf (Any fulltext), 479KB
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Interaction-dominant causation in mind and brain, and its implication for questions of generalization and replication.pdf
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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Wallot, Sebastian1, Author           
Kelty-Stephen, Damian G.2, Author
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1Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421695              
2external, ou_persistent22              

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 Abstract: The dominant assumption about the causal architecture of the mind is, that it is composed of a stable set of components that contribute independently to relevant observables that are employed to measure cognitive activity. This view has been called component-dominant dynamics. An alternative has been proposed, according to which the different components are not independent, but fundamentally interdependent, and are not stable basic properties of the mind, but rather an emergent feature of the mind given a particular task context. This view has been called interaction-dominant dynamics. In this paper, we review evidence for interaction-dominant dynamics as the causal architecture of the mind. We point out, that such an architecture is consistent with problems of convergence in research on the level of results and theorizing. Moreover, we point out that if interaction-dominant dynamics as the causal architecture of the mind were to be true, this would naturally lead to (some degree of) problems with generalization and replicability in sciences of the mind and brain, and would probably warrant changes in the scientific practice with regard to study-design and data analysis.

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Language(s): eng - English
 Dates: 2017-11-292018-06
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: Peer
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Title: Minds and machines : journal for artificial intelligence, philosophy and cognitive science
Source Genre: Journal
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Publ. Info: Dordrecht : Kluwer Academic Publ.
Pages: - Volume / Issue: 28 (2) Sequence Number: - Start / End Page: 353 - 374 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/0924-6495
ISSN: 0924-6495