This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. A variety of qualitative data can be accounted for by the approach. A computational model, CLARION, is then used to simulate a range of quantitative data. The results demonstrate the plausibility of the model, which provides a new perspective on skill learning. The role of implicit learning in skill acquisition and the distinction between implicit and explicit learning have been widely recognized in recent years (see, e.g., Cleeremans, Destrebecqz, &

The distinction between rule-based and similarity-based processes in cognition is of fundamental importance for cognitive science, and has been the focus of a large body of empirical research. However, intuitive uses of the distinction are subject to theoretical difficulties and their relation to empirical evidence is not clear. We propose a ‘core ’ distinction between ruleand similarity-based processes, in terms of the way representations of stored information are ‘matched ’ with the representation of a novel item. This explication captures the intuitively clear-cut cases of processes of each type, and resolves apparent problems with the rule/ similarity distinction. Moreover, it provides a clear target for assessing the psychological and AI literatures. We show that many lines of psychological evidence are less conclusive than sometimes assumed, but suggest that converging lines of evidence may be persuasive. We then argue that the AI literature suggests that approaches which combine rules and similarity are an important new focus for empirical work. © 1998 Elsevier Science B.V. Keywords: Similarity-based process; Rule-based process 1.

The relationship between implicit memory and implicit learning is explored. Dienes and Fahey (1995) showed that learning to control a dynamic system was mediated by a look-up table consisting of previously successful responses to specific situations. The experiment reported in this paper showed that facilitated performance on old situations was independent of the subjects' ability to recognize those situations as old, suggesting that memory was implicit. Further analyses of the Dienes and Fahey data replicated this independence of control performance on recognition. However, unlike the implicit memory revealed on fragment completion tasks, successful performance on the dynamic control tasks was remarkably resilient to modality shifts. The results are discussed in terms of models of implicit learning and the nature of implicit memory.

Children's (Grades 1 to 5) implicit learning of French orthographic regularities were investigated through nonword judgment (Experiments 1 and 2) and completion (Experiments 3a and 3b) tasks. Children were increasingly sensitive to (a) the frequency of double consonants (Experiments 1, 2 and 3a), (b) the fact that vowels can never be doubled (Experiment 2) and (c) the legal position of double consonants (Experiments 2 and 3b). The later effect transferred to never doubled consonants, although with a decrement in performance. Moreover, this decrement persisted without any trend towards fading even after the massive amounts of experience provided by years of practice. This result runs against the idea that transfer to novel material is indicative of abstract rule-based knowledge, and suggests instead the action of mechanisms sensitive to the statistical properties of the material. A connectionist model is proposed as an instantiation of such mechanisms.

The authors investigated the extent to which touch, vision, and audition mediate the processing of statistical regularities within sequential input. Few researchers have conducted rigorous comparisons across sensory modalities; in particular, the sense of touch has been virtually ignored. The current data reveal not only commonalities but also modality constraints affecting statistical learning across the senses. To be specific, the authors found that the auditory modality displayed a quantitative learning advantage compared with vision and touch. In addition, they discovered qualitative learning biases among the senses: Primarily, audition afforded better learning for the final part of input sequences. These findings are discussed in terms of whether statistical learning is likely to consist of a single, unitary mechanism or multiple, modality-constrained ones. The world is temporally bounded: Events do not occur all at once but rather are distributed in time. Therefore, it is crucial for organisms to be able to encode and represent temporal order information. One potential method for encoding temporal order is to learn the statistical relationships of elements within sequential input. This process appears to be important in a diverse set of learning situations, including speech segmentation (Saffran, Newport, & Aslin, 1996), learning orthographic regularities of written words (Pacton, Perruchet, Fayol, & Cleeremans, 2001), visual processing (Fiser & Aslin, 2002), visuomotor learning (e.g., serial reaction time tasks; Cleeremans, 1993) and nonlinguistic, auditory

To be published in Behavioral and Brain Sciences (in press)

Masked repetition priming in the lexical decision task was found to be greater when prime validity, defined as the proportion of repetition versus unrelated primes, was high (0.8) rather than low (0.2), even though primes were displayed for only 45 or 60 ms. Prime validity effects did not obtain when targets varied markedly from trial to trial with respect to processing difficulty. This variation appears to cause extensive prime recruitment even when prime validity is low. Reducing variability in target processing difficulty restored the influence of prime validity. Prime validity effects are anticipated by an episodic account of masked priming in which a prime event creates a resource that can be recruited to aid word identification. These effects support the idea that resource recruitment is more likely to occur when the validity of the resource is high, which creates a context that supports prime recruitment. Implications for lexical accounts of masked repetition priming are discussed. © 2001 Academic Press Key Words: episodic memory; masked priming; prime validity; repetition priming; word identification. Consciously and unconsciously, we rely on our memories of prior experiences to help us recognize the people, places, and things we encounter every day. Whether we recognize something depends not only on our learning experiences with

Implicit knowledge is perhaps better understood as latent knowledge so that it is readily apparent that it contrasts with explicit knowledge in terms of the form of the knowledge representation, rather than by definition in terms of consciousness or awareness. We argue that as a practical matter any definition of the distinction between implicit and explicit knowledge further involves the notion of control. One advantage of the natural language meaning of the implicit-explicit distinction as applied to knowledge representations is that it provides a principled explanation for why the implicit is so quiet: it contrasts with the explicit by being in a form that cannot be expressed. Thus, rather than "unconsciousness" being a defining (and then yet to be explained) characteristic of implicit knowledge---as in "implicit knowledge is just like explicit knowledge, except it's quiet"---the "unconsciousness " associated with the implicit is a consequence of this indirect representation (s...

The deliberate application of a strategy can have unintended discriminative effects. It is these effects or influences on discriminative responding that we argueare thesourceofour automatic influences, and can be dissociated from controlled influences under appropriate circumstances. We argue that such automatic influences are often latent in the interaction between the memory structures and the strategies that participants bring to bear in many implicit learning tasks.

Abstract not found