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  1. The time course of implicit and explicit concept learning.Eleni Ziori & Zoltán Dienes - 2012 - Consciousness and Cognition 21 (1):204-216.
    The present experiment investigated the development of implicit and explicit knowledge during concept learning. According to Cleeremans and Jiménez , the content of a representation can be conscious only when the representation is of a sufficiently good quality; on this theory, increasing explicit and decreasing implicit knowledge might be expected with training. The view that implicit knowledge arises from compilation of explicit knowledge makes the opposite prediction. The present research tested these possibilities using subjective measures based on confidence ratings. One (...)
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  • Subjective measures of unconscious knowledge of concepts.Eleni Ziori & Zoltán Dienes - 2006 - Mind and Society 5 (1):105-122.
    This paper considers different subjective measures of conscious and unconscious knowledge in a concept formation paradigm. In particular, free verbal reports are compared with two subjective measures, the zero-correlation and the guessing criteria, based on trial-by-trial confidence ratings (a type of on-line verbal report). Despite the fact that free verbal reports are frequently dismissed as being insensitive measures of conscious knowledge, a considerable bulk of research on implicit learning has traditionally relied on this measure of consciousness, because it is widely (...)
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  • Pertinence Generation in Radiological Diagnosis: Spreading Activation and the Nature of Expertise.Eric Raufaste, Hélène Eyrolle & Claudette Mariné - 1998 - Cognitive Science 22 (4):517-546.
    An empirical study of human expert reasoning processes is presented. Its purpose is to test a model of how a human expert's cognitive system learns to detect, and does detect, pertinent data and hypotheses. This process is called pertinence generation. The model is based on the phenomenon of spreading activation within semantic networks. Twenty‐two radiologists were asked to produce diagnoses from two very difficult X‐ray films. As the model predicted, pertinence increased with experience and with semantic network integration. However, the (...)
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