People don’t get better at predicting things over time when their environment is really noisy, but they do improve when things are just unpredictable or changing fast — too much noise seems to mess...
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People don’t get better at predicting things over time when their environment is really noisy, but they do improve when things are just unpredictable or changing fast — too much noise seems to mess...
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Humans exhibit reduced ability to minimize prediction errors over time in high-noise environments compared to intermediate or high-volatility environments, with no significant improvement in prediction error in high-noise conditions (z = −0.01, β = 0.0001, p = .99), while showing significant improvement in intermediate (β = −0.01, p = .008) and high-volatility (β = −0.01, p = .004) environments, suggesting that excessive environmental noise impairs learning effectiveness.
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Study: Contributions of expected learning progress and perceptual novelty to curiosity-driven exploration
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