{"pk":27842,"title":"Redefining heuristics in multi-attribute decisions: A probabilistic framework","subtitle":null,"abstract":"In this paper, we highlight the shortfall of conventionally de-scribed heuristics in multi-attribute decision theory, and pro-pose recasting these heuristics within a novel probabilisticframework. This framework is based on defining a psycho-logical feature space, with rule-based heuristics represented asprototypical representations within this space. We provide var-ious examples of meaningful heuristics that can be constructedunder this representation, including recasting probabilistic ver-sions of popular heuristics such as take-the-best. Next, wepropose an evaluation framework to measure the effectivenessof a consideration set of heuristics. This framework measureswhether the set of heuristics are sufficient to describe, predictand infer strategy selection and learning behavior. We proposethat this is a step towards a robust framework within whichmodels of strategy selection and learning should be evaluated.The framework aspires to develop a consideration set of heuris-tics that can be represented as a mathematically well-posed in-ference problem. We show that the heuristics redefined underour probabilistic framework generally perform better than con-ventional heuristics under this evaluation. We conclude with adiscussion on the possible applications of this framework.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Publication-based-Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/17j9p70x","frozenauthors":[{"first_name":"Percy","middle_name":"K","last_name":"Mistry","name_suffix":"","institution":"UC Irvine","department":""},{"first_name":"Jennifer","middle_name":"S","last_name":"Trueblood","name_suffix":"","institution":"Vanderbilt","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2018-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27842/galley/17481/download/"}]}