Cue learning

“In multiple-cue learning (also known as probabilistic category learning) people acquire information about cue-outcome relations and combine these into predictions or judgments. Previous researchers claimed that people can achieve high levels of performance without explicit knowledge of the task structure or insight into their own judgment policies … Learning analyses suggested that the apparent use of suboptimal strategies emerges from the incremental tracking of statistical contingencies in the environment.” In Lagnado, D. A. et al. ‘Insight and Strategy in Multiple-Cue Learning.’ Journal of Experimental Psychology: General. 135(2), May 2006, 162-183.