{"pk":33074,"title":"Making Heads or Tails out of Selecting Problem-Solving Strategies","subtitle":null,"abstract":"When solvers have more than one strategy available for a \ngiven problem, they must make a selection. As they select \nand use different strategies, solvers can learn the strengths \nand weaknesses of each. W e study how solvers learn about \nthe relative success rates of two strategies in the Building \nSticks Task and what influence this learning has on later \nstrategy selections. A theory of how people learn from and \nmake such selections in an adaptive way is part of the ACT-R \narchitecture (Anderson, 1993). W e develop a computational \nmodel within ACT- R that predicts individual subjects' \nselections based on their histories of success and failure. The \nmodel fits the selection behavior of two subgroups of \nsubjects: those who select each strategy according to its \nprobability of success and those who select the more \nsuccessful strategy exclusively. W e relate these results to \nprobability matching, a robust finding in the probability?learning literature that occurs when people select a response \n(e.g., guess heads vs. tails) a proportion of the time equal to \nthe probability that the corresponding event occurs (e.g., the \ncoin comes up heads vs. tails).","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"17","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0x63m8xs","frozenauthors":[{"first_name":"Marsha","middle_name":"C.","last_name":"Lovett","name_suffix":"","institution":"Carnegie Mellon University","department":""},{"first_name":"John","middle_name":"R.","last_name":"Anderson","name_suffix":"","institution":"Carnegie Mellon University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1995-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/33074/galley/24135/download/"}]}