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  1. May 30, 2019 · We distil testable hypotheses about how unexpected and expected uncertainty may interact and affect learning, and we offer ideas for future directions to pinpoint the neural substrates and ...

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  2. May 24, 2023 · The authors manipulated the expected uncertainty and used a Bayesian model to estimate two measures of unexpected uncertainty from behavior: the probability of change in the stimulus-reward contingencies (Yu & Dayan, 2005), and the uncertainty due to perceived changes in probability (Soltani & Izquierdo, 2019). They show that pupil size is ...

  3. May 26, 2023 · To successfully navigate the environment, individuals need to estimate the degree of uncertainty and adapt their behaviors accordingly by learning from experiences. However, uncertainty is a broad construct and distinct types of uncertainty may differentially influence our learning.

  4. Jul 10, 2013 · Theoretical propositions suggest that one form, unexpected uncertainty, may be used to rapidly adapt to changes in the environment, while being influenced by two other forms: risk and estimation uncertainty.

    • Elise Payzan-LeNestour, Simon Dunne, Simon Dunne, Peter Bossaerts, John P. O’Doherty, John P. O’Dohe...
    • 2013
  5. Oct 1, 2019 · Successful learning and decision-making therefore require the ability to estimate expected uncertainty (related to the variability of outcomes) and unexpected uncertainty (related to the variability of the environment).

  6. Oct 1, 2019 · Curiosity predicts transfer, but not above and beyond instruction type. Providing expectations about uncertainty buffers the effect of uncertainty on negative affect. Positive affect positively predicts learning. Uncertainty is a key variable in fostering curiosity, which, in turn, is associated with learning.

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  8. May 30, 2019 · Successful learning and decision-making require estimates of expected uncertainty and unexpected uncertainty. Soltani and Izquierdo define these concepts, describe proposed models of how...

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