Literature DB >> 28461462

Complexity and compositionality in fluid intelligence.

John Duncan1,2, Daphne Chylinski3, Daniel J Mitchell3, Apoorva Bhandari4.   

Abstract

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.

Entities:  

Keywords:  cognitive compositionally; fluid intelligence; focused attention; problem solving

Mesh:

Year:  2017        PMID: 28461462      PMCID: PMC5441793          DOI: 10.1073/pnas.1621147114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

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Authors:  Nash Unsworth; Randall W Engle
Journal:  Psychol Rev       Date:  2007-01       Impact factor: 8.934

2.  Hierarchical coding for sequential task events in the monkey prefrontal cortex.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-08       Impact factor: 11.205

3.  Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses.

Authors:  Mattia Rigotti; Daniel Ben Dayan Rubin; Xiao-Jing Wang; Stefano Fusi
Journal:  Front Comput Neurosci       Date:  2010-10-04       Impact factor: 2.380

Review 4.  The processing-speed theory of adult age differences in cognition.

Authors:  T A Salthouse
Journal:  Psychol Rev       Date:  1996-07       Impact factor: 8.934

5.  Connectionism and cognitive architecture: a critical analysis.

Authors:  J A Fodor; Z W Pylyshyn
Journal:  Cognition       Date:  1988-03

6.  Building machines that learn and think like people.

Authors:  Brenden M Lake; Tomer D Ullman; Joshua B Tenenbaum; Samuel J Gershman
Journal:  Behav Brain Sci       Date:  2016-11-24       Impact factor: 12.579

7.  Encoding of behavioral significance of visual stimuli by primate prefrontal neurons: relation to relevant task conditions.

Authors:  M Sakagami; H Niki
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

8.  Neuropsychological studies of the frontal lobes.

Authors:  D T Stuss; D F Benson
Journal:  Psychol Bull       Date:  1984-01       Impact factor: 17.737

9.  Mothers' scaffolding of children's problem solving: establishing a foundation of academic self-regulatory competence.

Authors:  Carin Neitzel; Anne Dopkins Stright
Journal:  J Fam Psychol       Date:  2003-03

10.  Goal neglect and knowledge chunking in the construction of novel behaviour.

Authors:  Apoorva Bhandari; John Duncan
Journal:  Cognition       Date:  2013-10-18
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  16 in total

1.  Differential Contribution of Cortical Thickness, Surface Area, and Gyrification to Fluid and Crystallized Intelligence.

Authors:  Ehsan Tadayon; Alvaro Pascual-Leone; Emiliano Santarnecchi
Journal:  Cereb Cortex       Date:  2020-01-10       Impact factor: 5.357

2.  Looking with the (computer) mouse: How to unveil problem-solving strategies in matrix reasoning without eye-tracking.

Authors:  Guillaume Rivollier; Jean-Charles Quinton; Corentin Gonthier; Annique Smeding
Journal:  Behav Res Methods       Date:  2020-09-24

3.  The dimensionality of neural representations for control.

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4.  Fluid Intelligence Emerges from Representing Relations.

Authors:  Adam Chuderski
Journal:  J Intell       Date:  2022-08-02

Review 5.  Attention-Setting and Human Mental Function.

Authors:  Thomas Sanocki; Jong Han Lee
Journal:  J Imaging       Date:  2022-06-01

6.  Working memory training involves learning new skills.

Authors:  Susan E Gathercole; Darren L Dunning; Joni Holmes; Dennis Norris
Journal:  J Mem Lang       Date:  2018-12-01       Impact factor: 3.059

7.  Neuroanatomical Correlates Underlying the Association Between Maternal Interleukin 6 Concentration During Pregnancy and Offspring Fluid Reasoning Performance in Early Childhood.

Authors:  Jerod M Rasmussen; Alice M Graham; Lauren E Gyllenhammer; Sonja Entringer; Daniel S Chow; Thomas G O'Connor; Damien A Fair; Pathik D Wadhwa; Claudia Buss
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-03-23

8.  General cognitive decline does not account for older adults' worse emotion recognition and theory of mind.

Authors:  Qiuyi Kong; Nicholas Currie; Kangning Du; Ted Ruffman
Journal:  Sci Rep       Date:  2022-04-26       Impact factor: 4.996

9.  Mapping differential responses to cognitive training using machine learning.

Authors:  Joseph P Rennie; Mengya Zhang; Erin Hawkins; Joe Bathelt; Duncan E Astle
Journal:  Dev Sci       Date:  2019-07-22

Review 10.  Integrated Intelligence from Distributed Brain Activity.

Authors:  John Duncan; Moataz Assem; Sneha Shashidhara
Journal:  Trends Cogn Sci       Date:  2020-08-05       Impact factor: 20.229

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