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Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation

Fleming, Stephen M., Daw, Nathaniel D.·2017·Psychological Review

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  • A confidence computation may leverage information provided by one's own actions when inferring whether a decision is likely to be correct.

    “Fleming & Daw (2017) proposed that a confidence computation may leverage information provided by one's own actions when inferring whether a decision is likely to be correct.”

    From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Fleming & Daw 2017

  • If there are additional sources of decisional or metacognitive noise, or if additional information arrives after committing to a decision, then propositional confidence should also be affected by these factors.

    “However, if there are additional sources of decisional or metacognitive noise, or if additional information arrives after committing to a decision, then propositional confidence should also be affected by these factors (Fleming & Daw 2017).”

    From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Fleming & Daw 2017

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Cited by

Sorted by citations

Authors
Fleming, S. M., & Daw, N. D.
Venue
Psychological Review
Published
2017-01
Volume
124
Issue
1
Pages
91-114
ISSN
  • 1939-1471
  • 0033-295X
Cited by
489
References
34
Language
en
Funders
  • Wellcome Trust (WT096185)
  • MacDonnell Foundation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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