Cognition: The Power of Simple Associative Learning
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Abstract
Associative learning is traditionally considered to be slow and inefficient compared to 'smarter' rule-based learning. New research reveals the remarkable ability of associative learning in acquiring exceedingly complex categories.
References
1.
Smith J, Berg M, Cook R, Murphy M, Crossley M, Boomer J
. Implicit and explicit categorization: a tale of four species. Neurosci Biobehav Rev. 2012; 36(10):2355-69.
PMC: 3777558.
DOI: 10.1016/j.neubiorev.2012.09.003.
View
2.
Wasserman E, Kain A, ODonoghue E
. Resolving the associative learning paradox by category learning in pigeons. Curr Biol. 2023; 33(6):1112-1116.e2.
PMC: 10050111.
DOI: 10.1016/j.cub.2023.01.024.
View
3.
Kruschke J
. ALCOVE: an exemplar-based connectionist model of category learning. Psychol Rev. 1992; 99(1):22-44.
DOI: 10.1037/0033-295x.99.1.22.
View
4.
Rehder B, Hoffman A
. Eyetracking and selective attention in category learning. Cogn Psychol. 2005; 51(1):1-41.
DOI: 10.1016/j.cogpsych.2004.11.001.
View
5.
ODonoghue E, Broschard M, Freeman J, Wasserman E
. The Lords of the Rings: People and pigeons take different paths mastering the concentric-rings categorization task. Cognition. 2021; 218:104920.
PMC: 8639790.
DOI: 10.1016/j.cognition.2021.104920.
View