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Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the parameters for each participant from 1 task and using those same parameters to predict on the other task. Three methods were used to evaluate the models at the individual level of analysis. The first method used a post hoc fit criterion, the second method used a generalization criterion for short\u2010term predictions, and the third method again used a generalization criterion for long\u2010term predictions. The results suggest that the models with the prospect utility function can make generalizable predictions to new conditions, and different learning models are needed for making short\u2010versus long\u2010term predictions on simple gambling tasks.<\/jats:p>","DOI":"10.1080\/03640210802352992","type":"journal-article","created":{"date-parts":[[2008,12,5]],"date-time":"2008-12-05T07:37:00Z","timestamp":1228462620000},"page":"1376-1402","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":178,"title":["Comparison of Decision Learning Models Using the Generalization Criterion Method"],"prefix":"10.1111","volume":"32","author":[{"given":"Woo\u2010Young","family":"Ahn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerome R.","family":"Busemeyer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric\u2010Jan","family":"Wagenmakers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julie C.","family":"Stout","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2008,12]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.111.4.1036"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2008.20108"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/bdm.443"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0277(94)90018-3"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.275.5304.1293"},{"key":"e_1_2_8_7_1","volume-title":"Bandit Problems: Sequential Allocation of ExperimentsBandit problems: Sequential allocation of experiments","author":"Berry D. 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