Learning from patterns of occurrence, covariation or sequential dependence in experience. A behavioural result can constrain which regularities were learned without uniquely identifying whether the mechanism used associations, stored chunks or hypothesis testing. Distributional information can be exploited by a general algorithm operating over specialised representations.
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