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Intelligence as Accurate Prediction

Tjøstheim, Trond A. LU and Stephens, Andreas LU orcid (2022) In Review of Philosophy and Psychology 13(2). p.475-499
Abstract
This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations and environments. The argumentation synthesizes Godfrey-Smith’s environmental complexity theory, adding the notion of niche broadness as well as changes concerning the view of cognition and control,... (More)
This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations and environments. The argumentation synthesizes Godfrey-Smith’s environmental complexity theory, adding the notion of niche broadness as well as changes concerning the view of cognition and control, and Hohwy’s predictive mind theory, making explicit the significance of accuracy as a composite of trueness and precision where the nervous system acts as a distributed controller motivating actions that keep the body in homeostasis. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Intelligence, Prediction, Homeostasis
in
Review of Philosophy and Psychology
volume
13
issue
2
pages
475 - 499
publisher
Springer
external identifiers
  • scopus:85102830637
ISSN
1878-5166
DOI
10.1007/s13164-021-00538-5
project
Cognitive Philosophy Research Group (CogPhi)
language
English
LU publication?
yes
id
19fd4a11-2655-4eef-836d-242373a7604f
date added to LUP
2021-03-17 09:01:37
date last changed
2023-05-10 15:14:18
@article{19fd4a11-2655-4eef-836d-242373a7604f,
  abstract     = {{This paper argues that intelligence can be approximated by the ability to produce accurate predictions. It is further argued that general intelligence can be approximated by context dependent predictive abilities combined with the ability to use working memory to abstract away contextual information. The flexibility associated with general intelligence can be understood as the ability to use selective attention to focus on specific aspects of sensory impressions to identify patterns, which can then be used to predict events in novel situations and environments. The argumentation synthesizes Godfrey-Smith’s environmental complexity theory, adding the notion of niche broadness as well as changes concerning the view of cognition and control, and Hohwy’s predictive mind theory, making explicit the significance of accuracy as a composite of trueness and precision where the nervous system acts as a distributed controller motivating actions that keep the body in homeostasis.}},
  author       = {{Tjøstheim, Trond A. and Stephens, Andreas}},
  issn         = {{1878-5166}},
  keywords     = {{Intelligence; Prediction; Homeostasis}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{475--499}},
  publisher    = {{Springer}},
  series       = {{Review of Philosophy and Psychology}},
  title        = {{Intelligence as Accurate Prediction}},
  url          = {{http://dx.doi.org/10.1007/s13164-021-00538-5}},
  doi          = {{10.1007/s13164-021-00538-5}},
  volume       = {{13}},
  year         = {{2022}},
}