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{ "pk": 28588, "title": "Asking goal-oriented questions and learning from answers", "subtitle": null, "abstract": "The study of question asking in humans and machines hasgained attention in recent years. A key aspect of question ask-ing is the ability to select good (informative) questions froma provided set. Machines—in particular neural networks—generally struggle with two important aspects of question ask-ing, namely to learn from the answer to their selected ques-tion and to flexibly adjust their questioning to new goals. Inthe present paper, we show that people are sensitive to both ofthese aspects and describe a unified Bayesian account of ques-tion asking that is capable of similar ingenuity. In the first ex-periment, we predict people’s judgments when adjusting theirquestion-asking towards a particular goal. In the second ex-periment, we predict people’s judgments when deciding whatfollow-up question to ask. An alternative model based on su-perficial features, such as the existence of certain key wordsin the questions, was not able to capture these judgments to areasonable degree.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Bayesian modeling; active learning; informationsearch; question asking" } ], "section": "Papers with Oral Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/04q6z1mq", "frozenauthors": [ { "first_name": "Anselm", "middle_name": "", "last_name": "Rothe", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Brenden", "middle_name": "M.", "last_name": "Lake", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Todd", "middle_name": "M.", "last_name": "Gureckis", "name_suffix": "", "institution": "New York 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/28588/galley/18459/download/" } ] }