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{ "pk": 27118, "title": "Beliefs about sparsity affect causal experimentation", "subtitle": null, "abstract": "What is the best way of figuring out the structure of a causalsystem composed of multiple variables? One prominent ideais that learners should manipulate each candidate variable inisolation to avoid confounds (known as the “Control of Vari-ables” strategy). Here, we demonstrate that this strategy is notalways the most efficient method for learning. Using an opti-mal learner model which aims to minimize the number of tests,we show that when a causal system is sparse, that is, whenthe outcome of interest has few or even just one actual causeamong the candidate variables, it is more efficient to test mul-tiple variables at once. In a series of behavioral experiments,we then show that people are sensitive to causal sparsity whenplanning causal experiments.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "information search; causal learning; hypothesistesting" } ], "section": "Posters: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/8s94f16h", "frozenauthors": [ { "first_name": "Anna", "middle_name": "", "last_name": "Coenen", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Neil", "middle_name": "R.", "last_name": "Bramley", "name_suffix": "", "institution": "New York University", "department": "" }, { "first_name": "Azzurra", "middle_name": "", "last_name": "Ruggeri", "name_suffix": "", "institution": "Max Planck Institute for Human Developmen", "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": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27118/galley/16754/download/" } ] }