Challenging the role of implicit processes in probabilistic category learning |
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Authors: | Ben R Newell David A Lagnado David R Shanks |
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Institution: | School of Psychology, University of New South Wales, Sydney, New South Wales, Australia. ben.newell@unsw.edu.au |
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Abstract: | Considerable interest in the hypothesis that different cognitive tasks recruit qualitatively distinct processing systems has
led to the proposal of separate explicit (declarative) and implicit (procedural) systems. A popular probabilistic category
learning task known as the weather prediction task is said to be ideally suited to examine this distinction because its two
versions, “observation” and “feedback,” are claimed to recruit the declarative and procedural systems, respectively. In two
experiments, we found results that were inconsistent with this interpretation. In Experiment 1, a concurrent memory task had
a detrimental effect on the implicit (feedback) version of the task. In Experiment 2, participants displayed comparable and
accurate insight into the task and their judgment processes in the feedback and observation versions. These findings have
important implications for the study of probabilistic category learning in both normal and patient populations. |
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