Developmental shifts in computations used to detect environmental controllability
Hillary A Raab1, Careen Foord2, Romain Ligneul3
1Department of Psychology, New York University, New York, New York, United States of America.
Plos Computational Biology
|June 1, 2022
Summary
Children
Area of Science:
- Cognitive Development
- Neuroscience
- Developmental Psychology
Background:
- Accurate assessment of environmental controllability is crucial for adaptive behavior.
- Understanding how this assessment ability develops from childhood to adulthood is unclear.
Purpose of the Study:
- To investigate age-related changes in the assessment of environmental controllability.
- To identify the cognitive strategies and mechanisms underlying these developmental shifts.
Main Methods:
- Ninety participants (ages 8-25) performed a task with alternating controllable and uncontrollable conditions.
- Behavioral data on exploration and action choices were collected.
- Computational modeling was used to analyze assessment strategies.
Main Results:
- Accuracy in assessing environmental controllability improved with age.
- Younger children relied on random exploration, while older individuals used task knowledge.
- Working memory capacity mediated the shift towards inferential strategies.
Conclusions:
- Cognitive processes for assessing environmental controllability undergo significant age-related changes.
- Developmental improvements in controllability detection enhance adaptive behavior by optimizing action-outcome learning.
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