The Wiley Handbook on the Cognitive Neuroscience of Learning 2016
DOI: 10.1002/9781118650813.ch15
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Human Learning About Causation

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Cited by 3 publications
(2 citation statements)
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“…For all individual CS present on a learning trial, changes in CS-US associative value (∆V) are determined by the difference between the actual magnitude of US on that trial (l, ranging 0-1) and the summed associative value of all present CS (SV). By itself, this subtraction (l -SV) represents mismatches of actual versus expected outcomes, considered a formal representation of 'surprisingness' or 'prediction error' (Baetu & Baker, 2016). Because organisms rarely acquire total learning on a single stimulus pairing however, which is why the model includes one or more fixed learning rate parameters (ab, ranging 0-1), which weight prediction error's overall impact.…”
Section: Formal Learning Theorymentioning
confidence: 99%
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“…For all individual CS present on a learning trial, changes in CS-US associative value (∆V) are determined by the difference between the actual magnitude of US on that trial (l, ranging 0-1) and the summed associative value of all present CS (SV). By itself, this subtraction (l -SV) represents mismatches of actual versus expected outcomes, considered a formal representation of 'surprisingness' or 'prediction error' (Baetu & Baker, 2016). Because organisms rarely acquire total learning on a single stimulus pairing however, which is why the model includes one or more fixed learning rate parameters (ab, ranging 0-1), which weight prediction error's overall impact.…”
Section: Formal Learning Theorymentioning
confidence: 99%
“…The role of prediction error in learning can be restated as the gradual minimization of surprisingness or uncertainty (Baetu & Baker, 2016;den Ouden et al, 2009;Friston, 2010). PEs are evoked early on, then minimized over time, until predictions about a cue-outcome relationship are no longer in error.…”
Section: Safety Prediction Error: Turning Nothing Into Somethingmentioning
confidence: 99%