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{ "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/" } ] }