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A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
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Computational rationality and developmental neurodivergence.

Samuel David Jones1, Paul Rauwolf1, Gert Westermann2

  • 1Department of Psychology, Bangor University, Bangor, UK.

Trends in Cognitive Sciences
|February 9, 2025
PubMed
Summary
This summary is machine-generated.

Computational rationality offers a new framework to understand how behaviors and brain development interact, especially in neurodevelopmental variation. This approach clarifies the dynamic feedback loops influencing neurodivergent development.

Keywords:
computational rationalitydecision theorydevelopmental neurodivergenceontogenetic niche constructionprobabilistic epigenesis

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Computational Psychiatry

Background:

  • The influence of behavior on neurodevelopmental trajectories is not well understood.
  • Existing models do not fully capture the dynamic interplay between brain and behavior.

Purpose of the Study:

  • Introduce computational rationality as a framework.
  • Explain its utility in understanding neurodevelopmental variation.
  • Highlight the feedback between brain and behavioral development.

Main Methods:

  • Conceptual framework development.
  • Literature synthesis.
  • Theoretical modeling.

Main Results:

  • Computational rationality provides a dynamic feedback model.
  • This framework integrates behavioral choices, actions, and habits with brain development.
  • It offers a novel perspective on neurodevelopmental variation.

Conclusions:

  • Computational rationality is a promising framework for studying neurodevelopment.
  • It enhances understanding of neurodivergent development.
  • Further research integrating computational approaches is warranted.