{"pk":26694,"title":"Instance-based Learning in Multi-cue Diagnosis","subtitle":null,"abstract":"Decision heuristics are often described as fast and frugal, taking little time and few computations to make a gooddecision (Gigerenzer & Todd, 1999). Fast & Frugal Trees (F&FTs) are a type of decision heuristic that are a special case ofdecision trees in which there is a possible exit out of the decision process at every node in the tree (Luan, Schooler, & Gigerenzer,2011). We present predictions from a computational process model of learning in a multi-cue diagnosis task with and withoutinformation acquisition costs and across different penalty values for errors. The model uses Instance-Based Learning Theory(IBLT) to acquire new knowledge and makes precise performance predictions across a range of dependent variables. We willcompare the a priori model predictions to F&FT-constrained machine learning results on the same stimuli and also to empiricalresults collected from human participants making decisions in the same environment.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5sz5x0m0","frozenauthors":[{"first_name":"Christopher","middle_name":"","last_name":"Myers","name_suffix":"","institution":"Air Force Research Laboratory","department":""},{"first_name":"Kevin","middle_name":"","last_name":"Gluck","name_suffix":"","institution":"Air Force Research Laboratory","department":""},{"first_name":"Andrew","middle_name":"","last_name":"Halsey","name_suffix":"","institution":"Air Force Research Laboratory","department":""},{"first_name":"Jack","middle_name":"","last_name":"Harris","name_suffix":"","institution":"Air Force Research Laboratory","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T13:00:00-05:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26694/galley/16330/download/"}]}