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From cognitivism to autopoiesis: towards a computational framework for the embodied mind

Overview of attention for article published in Synthese, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 2,833)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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143 X users
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2 Facebook pages
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2 Wikipedia pages
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2 Google+ users

Citations

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255 Dimensions

Readers on

mendeley
497 Mendeley
Title
From cognitivism to autopoiesis: towards a computational framework for the embodied mind
Published in
Synthese, December 2016
DOI 10.1007/s11229-016-1288-5
Pubmed ID
Authors

Micah Allen, Karl J. Friston

Abstract

Predictive processing (PP) approaches to the mind are increasingly popular in the cognitive sciences. This surge of interest is accompanied by a proliferation of philosophical arguments, which seek to either extend or oppose various aspects of the emerging framework. In particular, the question of how to position predictive processing with respect to enactive and embodied cognition has become a topic of intense debate. While these arguments are certainly of valuable scientific and philosophical merit, they risk underestimating the variety of approaches gathered under the predictive label. Here, we first present a basic review of neuroscientific, cognitive, and philosophical approaches to PP, to illustrate how these range from solidly cognitivist applications-with a firm commitment to modular, internalistic mental representation-to more moderate views emphasizing the importance of 'body-representations', and finally to those which fit comfortably with radically enactive, embodied, and dynamic theories of mind. Any nascent predictive processing theory (e.g., of attention or consciousness) must take into account this continuum of views, and associated theoretical commitments. As a final point, we illustrate how the Free Energy Principle (FEP) attempts to dissolve tension between internalist and externalist accounts of cognition, by providing a formal synthetic account of how internal 'representations' arise from autopoietic self-organization. The FEP thus furnishes empirically productive process theories (e.g., predictive processing) by which to guide discovery through the formal modelling of the embodied mind.

X Demographics

X Demographics

The data shown below were collected from the profiles of 143 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 497 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Switzerland 1 <1%
Austria 1 <1%
Canada 1 <1%
Denmark 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 489 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 117 24%
Researcher 73 15%
Student > Master 67 13%
Student > Bachelor 42 8%
Professor 21 4%
Other 90 18%
Unknown 87 18%
Readers by discipline Count As %
Psychology 101 20%
Neuroscience 73 15%
Philosophy 36 7%
Agricultural and Biological Sciences 26 5%
Computer Science 25 5%
Other 110 22%
Unknown 126 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2023.
All research outputs
#491,793
of 25,998,826 outputs
Outputs from Synthese
#18
of 2,833 outputs
Outputs of similar age
#10,196
of 429,253 outputs
Outputs of similar age from Synthese
#1
of 33 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,833 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,253 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.