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Evolving networks of human intelligence

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  • Savi, Alexander O.
  • Marsman, Maarten
  • van der Maas, Han L.J.

Abstract

Twentieth century theory formation in human intelligence was dominated by factor theories; network theories will dominate the twenty first. Network theories answer a broad call for formal theories in psychological science, provide a strong approach to an idiographic science, and create an opportunity to study the developmental mechanisms of human's cognitive dynamics. Although the current century already delivered two formal stationary network theories of human intelligence—mutualism and wired intelligence—integrating dynamic mechanisms remains a serious challenge. This challenge translates into clear priorities: the identification of robust developmental phenomena, the study of the biological and cognitive mechanisms that drive these phenomena, the integration of these mechanisms into network theories of growth, the integration of network theories from different explanatory levels, and the empirical characterization of the structure of network theories.

Suggested Citation

  • Savi, Alexander O. & Marsman, Maarten & van der Maas, Han L.J., 2021. "Evolving networks of human intelligence," Intelligence, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000519
    DOI: 10.1016/j.intell.2021.101567
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    References listed on IDEAS

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    1. Sacha Epskamp, 2020. "Psychometric network models from time-series and panel data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 206-231, March.
    2. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    3. Hartung, Johanna & Doebler, Philipp & Schroeders, Ulrich & Wilhelm, Oliver, 2018. "Dedifferentiation and differentiation of intelligence in adults across age and years of education," Intelligence, Elsevier, vol. 69(C), pages 37-49.
    4. Angélique O J Cramer & Claudia D van Borkulo & Erik J Giltay & Han L J van der Maas & Kenneth S Kendler & Marten Scheffer & Denny Borsboom, 2016. "Major Depression as a Complex Dynamic System," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-20, December.
    5. Alessandro Pluchino & Alessio Emanuele Biondo & Andrea Rapisarda, 2018. "Talent Versus Luck: The Role Of Randomness In Success And Failure," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-31, May.
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    Cited by:

    1. Haier, Richard J., 2021. "Are we thinking big enough about the road ahead? Overview of the special issue on the future of intelligence research," Intelligence, Elsevier, vol. 89(C).
    2. Umut Erdem & K. Mert Cubukcu, 2022. "The uneven geography of innovation in Turkey: Visualizing the geography and regional relatedness of patent production," Environment and Planning A, , vol. 54(1), pages 7-10, February.

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