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Study design
Researchers designed a human planning task that varied three forms of environmental stochasticity: reliability, volatility and controllability. They measured first-choice response times and compared participants’ choices with computational cognitive models to examine how people adjusted planning effort.
What the findings show
Across all three manipulations, greater stochasticity was associated with shorter first-choice response times, used as an indicator of reduced planning effort. Model comparisons suggested that participants often treated uncertain outcomes as if the environment were deterministic and became less sensitive to value differences, a pattern the authors describe as policy compression.
Limits
The study tests behavior in a designed task and uses response time and model fit to infer effort and strategy. These measures do not directly reveal neural activity or establish how people plan in every real-world setting; the findings do not show a way to improve planning with a supplement.
This sourced news summary and translation were prepared with AI assistance. Source links, the news date and research limitations are disclosed; this is not a claim of independent medical expert review. News production method.
Sources
- Environmental stochasticity reduces human planning effort — Nature Communications ·
Research news is not medical advice or a recommendation to use a substance. Read findings in the context of the study design, participants and limitations. Editorial standards.
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