ADQUISICIÓN PROGRESIVA DEL CONOCIMIENTO SOBRE RELACIONES PREDICTIVAS: CURVAS DE APRENDIZAJE EN JUICIOS DE CONTINGENCIA
作者： David Shanks , Julián Almaraz , Francisco J. López , Pablo Fernández
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摘要: Gradual acquisition of knowledge predictive relationships: learning curves in contingency judgements. The aim this paper was studying how relationships between events are learnt. Participants had to evaluate the relationship arranged a cue and an outcome it studied their judgements evolved across trials. Four different conditions were programmed, positive, negative two zero with high low probability. results showed that terminal ratings agreed programmed about gradually acquired. Regarding theoretical implications, such simulations performed limitations ∆P statistical model compatibility predictions made by Rescorla Wagner associative model.
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