Self-insight in probabilistic categorization – not implicit in children either

The weather prediction (WP) task is a probabilistic category learning task that was designed to be implicit/procedural. In line with this claim, early results showed that patients with amnesia perform comparably to healthy participants. On the other hand, later research on healthy adult participants drew attention to the fact that the WP task is not necessarily implicit. There have been results showing that participants can access structural information acquired during the task. Participants also report that their responses are based on memories and rule knowledge. The contradictory results may be reconciled by assuming that while explicit learning occurs on the WP task in case of adults, in children the learning process is implicit. The present study aims at testing this hypothesis. Primary school children completed the WP task; the experimental group performed the original task, whereas in the control group cues and outcomes were associated on a random basis, hence their version of the WP task lacked a predictive structure. After each item, participants were asked whether they relied on guessing, intuition, “I think I know the answer” type of knowledge, memories of previous items, or knowledge of rules. Self-insight reports of the experimental group were compared to a control group. Results showed that children learn similarly to adults: they mostly (but not completely) rely on explicit, and not on implicit processes.

[1]  M. Gluck,et al.  Probabilistic classification learning in amnesia. , 1994, Learning & memory.

[2]  D. Lagnado,et al.  Challenging the role of implicit processes in probabilistic category learning , 2007, Psychonomic bulletin & review.

[3]  M. Gluck,et al.  Role of the basal ganglia in category learning: how do patients with Parkinson's disease learn? , 2004, Behavioral neuroscience.

[4]  Z. Dienes,et al.  Measuring unconscious knowledge: distinguishing structural knowledge and judgment knowledge , 2005, Psychological research.

[5]  L R Squire,et al.  Dissociable properties of memory systems: differences in the flexibility of declarative and nondeclarative knowledge. , 1996, Behavioral neuroscience.

[6]  W. T. Maddox,et al.  Delayed feedback disrupts the procedural-learning system but not the hypothesis-testing system in perceptual category learning. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[7]  M. Gluck,et al.  Impaired probabilistic category learning in hypoxic subjects with hippocampal damage , 2004, Neuropsychologia.

[8]  A. Reber Implicit learning of artificial grammars , 1967 .

[9]  Jennifer A. Mangels,et al.  A Neostriatal Habit Learning System in Humans , 1996, Science.

[10]  Carol A. Seger,et al.  Striatal activation during acquisition of a cognitive skill. , 1999, Neuropsychology.

[11]  M. Nissen,et al.  Attentional requirements of learning: Evidence from performance measures , 1987, Cognitive Psychology.

[12]  Arthur S. Reber,et al.  Cognition Unawares. (Book Reviews: Implicit Learning and Tacit Knowledge. An Essay on the Cognitive Unconscious.) , 1996 .

[13]  M. Gluck,et al.  Interactive memory systems in the human brain , 2001, Nature.

[14]  D. Lagnado,et al.  Insight and strategy in multiple-cue learning. , 2006, Journal of experimental psychology. General.

[15]  M. Gluck,et al.  How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning. , 2002, Learning & memory.

[16]  Ágnes Lukács,et al.  Self-Insight in Probabilistic Category Learning , 2013, The Journal of general psychology.

[17]  Ágnes Lukács,et al.  Impaired procedural learning in language impairment: Results from probabilistic categorization , 2010, Journal of clinical and experimental neuropsychology.