{"pk":28546,"title":"Role of Working Memory on Strategy Use in the Probability Learning Task","subtitle":null,"abstract":"Extensive research on probability learning has reported on the\nubiquity of the probability matching strategy—choosing\noptions in proportion to their probability of being correct. The\ncurrent paper explores why the optimal strategy in this task\n(always choosing the higher probability option) is not\nintuitive for participants, by examining their decisions in\nrelation to their working memory capacities. We hypothesize\nthat probability matching is a by-product of an automatic\nrecency-based strategy produced by limits in working\nmemory storage and that deliberate strategizing mediated by\nworking memory processing can override recency in favor of\noptimal responding. A variant of the Expectancy-Valence\nLearning Model is fit to participant data from a two-choice\nprobability learning task using hierarchical Bayesian\nmodelling. Point estimates of the best-fitting parameter values\nare then correlated with working memory measures. Results\nindicate close relations between them, providing support for\nour hypothesis.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"working memory; probability learning; recency"}],"section":"Papers with Oral Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/70x5r6sb","frozenauthors":[{"first_name":"Mahi","middle_name":"","last_name":"Luthra","name_suffix":"","institution":"Indiana University","department":""},{"first_name":"Peter","middle_name":"M.","last_name":"Todd","name_suffix":"","institution":"Indiana University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T23:30:00+05:30","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28546/galley/18417/download/"}]}