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Abstract : At various points in a two-choice probability learning experiment, Ss were interrupted and asked to estimate the probability of the most frequent of the two stimulus events. The Ss' estimates were compared with the proportion of trials on which other Ss predicted the events. The estimates change as a function of training in a manner consistent with a simple Bayesian revision model. (Author)
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Stored only when both papers are in the corpus — 13 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.