Article (Scientific journals)
Complexity and compositionality in fluid intelligence
Duncan, John; Chylinski, Daphné; Mitchell, Daniel J. et al.
2017In Proceedings of the National Academy of Sciences of the United States of America
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Keywords :
fluid intelligence; problem solving; cognitive compositionality; focused attention
Abstract :
[en] Compositionality, or the ability to build complex cognitive structures from simple parts, is fundamental to the power of the human mind. Here we relate this principle to the psychometric concept of fluid intelligence, traditionally measured with tests of complex reasoning. Following the principle of compositionality, we propose that the critical function in fluid intelligence is splitting a complex whole into simple, separately attended parts. To test this proposal, we modify traditional matrix reasoning problems to minimize requirements on information integration, working memory, and processing speed, creating problems that are trivial once effectively divided into parts. Performance remains poor in participants with low fluid intelligence, but is radically improved by problem layout that aids cognitive segmentation. In line with the principle of compositionality, we suggest that effective cognitive segmentation is important in all organized behavior, explaining the broad role of fluid intelligence in successful cognition.
Research center :
Medical Research Council (MRC) Cognition and Brain Sciences Unit (CBU), Cambridge, UK
Disciplines :
Theoretical & cognitive psychology
Author, co-author :
Duncan, John
Chylinski, Daphné ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Mitchell, Daniel J.
Bhandari, Apoorva
Language :
English
Title :
Complexity and compositionality in fluid intelligence
Publication date :
2017
Journal title :
Proceedings of the National Academy of Sciences of the United States of America
ISSN :
0027-8424
eISSN :
1091-6490
Publisher :
National Academy of Sciences, Cambridge, United States
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
This research was supported by Medical Research Council intramural program MC-A060-5PQ10.
Available on ORBi :
since 17 April 2018

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