Fluid Intelligence Emerges from Representing Relations Article Swipe
Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations allows for enormous flexibility of thinking but depends on the validity and robustness of the dynamic patterns of argument–object (role–filler) bindings, which encode relations in the brain. Such a reconceptualization of the fluid intelligence construct allows for the simplification and purification of its models, tests, and potential brain mechanisms.
Related Topics
Concepts
Cognitive science
Computer science
Cognition
Argument (complex analysis)
Construct (python library)
Representation (politics)
Robustness (evolution)
Fluid intelligence
Cognitive psychology
Artificial intelligence
Psychology
ENCODE
Working memory
Neuroscience
Chemistry
Biochemistry
Programming language
Law
Politics
Political science
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jintelligence10030051
- https://www.mdpi.com/2079-3200/10/3/51/pdf?version=1659609175
- OA Status
- gold
- Cited By
- 5
- References
- 153
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289519634
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289519634Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/jintelligence10030051Digital Object Identifier
- Title
-
Fluid Intelligence Emerges from Representing RelationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-02Full publication date if available
- Authors
-
Adam ChuderskiList of authors in order
- Landing page
-
https://doi.org/10.3390/jintelligence10030051Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-3200/10/3/51/pdf?version=1659609175Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-3200/10/3/51/pdf?version=1659609175Direct OA link when available
- Concepts
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Cognitive science, Computer science, Cognition, Argument (complex analysis), Construct (python library), Representation (politics), Robustness (evolution), Fluid intelligence, Cognitive psychology, Artificial intelligence, Psychology, ENCODE, Working memory, Neuroscience, Chemistry, Biochemistry, Programming language, Law, Politics, Political science, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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153Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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