Fluid Intelligence Emerges from Representing Relations
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| Title: | Fluid Intelligence Emerges from Representing Relations |
|---|---|
| Authors: | Chuderski, Adam |
| Source: | Journal of Intelligence. 2022 10. |
| Availability: | MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: indexing@mdpi.com; e-mail: jintelligence@mdpi.com; Web site: https://www.mdpi.com/journal/jintelligence |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2022 |
| Document Type: | Journal Articles Reports - Evaluative |
| Descriptors: | Intelligence, Cognitive Processes, Short Term Memory, Abstract Reasoning, Brain, Cognitive Ability, Psychometrics, Intelligence Tests, Schemata (Cognition) |
| ISSN: | 2079-3200 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| Accession Number: | EJ1353645 |
| Database: | ERIC |
| Abstract: | 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. |
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| ISSN: | 2079-3200 |
