{"pk":28644,"title":"Using Machine Learning to Guide Cognitive Modeling:A Case Study in Moral Reasoning","subtitle":null,"abstract":"Large-scale behavioral datasets enable researchers to use com-plex machine learning algorithms to better predict human be-havior, yet this increased predictive power does not always leadto a better understanding of the behavior in question. In thispaper, we outline a data-driven, iterative procedure that allowscognitive scientists to use machine learning to generate mod-els that are both interpretable and accurate. We demonstratethis method in the domain of moral decision-making, wherestandard experimental approaches often identify relevant prin-ciples that influence human judgments, but fail to generalizethese findings to “real world” situations that place these prin-ciples in conflict. The recently released Moral Machine datasetallows us to build a powerful model that can predict the out-comes of these conflicts while remaining simple enough to ex-plain the basis behind human decisions.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"machine learning; moral psychology"}],"section":"Papers with Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/9bs9d2xg","frozenauthors":[{"first_name":"Mayank","middle_name":"","last_name":"Agrawal","name_suffix":"","institution":"Princeton University","department":""},{"first_name":"Joshua","middle_name":"C.","last_name":"Peterson","name_suffix":"","institution":"Princeton University","department":""},{"first_name":"Thomas","middle_name":"L.","last_name":"Griffiths","name_suffix":"","institution":"Princeton University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28644/galley/18515/download/"}]}