Intelligence as Accurate Prediction
Tjøstheim, Trond A. LU and Stephens, Andreas LU
(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:
https://lup.lub.lu.se/record/19fd4a11-2655-4eef-836d-242373a7604f
- author
- Tjøstheim, Trond A.
LU
and Stephens, Andreas
LU
- organization
- publishing date
- 2022
- 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}},
}