Implicit learning and statistical learning: one phenomenon, two approaches

@article{citeulike:844216, abstract = {The domain-general learning mechanisms elicited in incidental learning situations are of potential interest in many research fields, including language acquisition, object knowledge formation and motor learning. They have been the focus of studies on implicit learning for nearly 40 years. Stemming from a different research tradition, studies on statistical learning carried out in the past 10 years after the seminal studies by Saffran and collaborators, appear to be closely related, and the similarity between the two approaches is strengthened further by their recent evolution. However, implicit learning and statistical learning research favor different interpretations, focusing on the formation of chunks and statistical computations, respectively. We examine these differing approaches and suggest that this divergence opens up a major theoretical challenge for future studies.}, author = {Perruchet, Pierre and Pacton, Sebastien }, citeulike-article-id = {844216}, doi = {10.1016/j.tics.2006.03.006}, journal = {Trends in Cognitive Sciences}, keywords = {artificial-grammars, cross-situational, statistical-learning}, month = {May}, number = {5}, pages = {233--238}, posted-at = {2008-05-13 19:23:21}, priority = {0}, title = {Implicit learning and statistical learning: one phenomenon, two approaches}, url = {http://dx.doi.org/10.1016/j.tics.2006.03.006}, volume = {10}, year = {2006} }

TY - JOUR ID - citeulike:844216 L3 - citeulike-article-id:844216 TI - Implicit learning and statistical learning: one phenomenon, two approaches JF - Trends in Cognitive Sciences VL - 10 IS - 5 SP - 233 EP - 238 N2 - The domain-general learning mechanisms elicited in incidental learning situations are of potential interest in many research fields, including language acquisition, object knowledge formation and motor learning. They have been the focus of studies on implicit learning for nearly 40 years. Stemming from a different research tradition, studies on statistical learning carried out in the past 10 years after the seminal studies by Saffran and collaborators, appear to be closely related, and the similarity between the two approaches is strengthened further by their recent evolution. However, implicit learning and statistical learning research favor different interpretations, focusing on the formation of chunks and statistical computations, respectively. We examine these differing approaches and suggest that this divergence opens up a major theoretical challenge for future studies. KW - artificial-grammars KW - cross-situational KW - statistical-learning AU - Perruchet, Pierre AU - Pacton, Sebastien PY - 2006/05// UR - http://dx.doi.org/10.1016/j.tics.2006.03.006 ER -