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{ "pk": 26555, "title": "Heuristics in exploration: Distributional information is selectively used for activelearning", "subtitle": null, "abstract": "Everyday decision-making is filled with choices about what to act on, with outcomes playing a critical role in learn-ing. Information gain is oft cited as a valuable approach to maximize potential learning, but its computation is costly. It entailsevaluating the probability of multiple outcomes given any possible action, and then considering the degree of belief-change overall possibilities. Given the computational complexity of this evaluation, it becomes important to ask whether learners employcues to information gain; are there heuristics that drive choice in active learning? Our experiments ask participants to choosebetween two options (varying in distributional characteristics) in either a “learning-condition” or “collecting-condition”. Ourresults suggest that adults are sensitive to cues (e.g. variance) that tend to correlate with information gain. These cues areonly favored in learning-goal contexts, suggesting that certain distributional qualities are not always appealing, but rather areselectively-employed heuristics towards information gain.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/91m9h069", "frozenauthors": [ { "first_name": "Elizabeth", "middle_name": "", "last_name": "Lapidow", "name_suffix": "", "institution": "Rutgers University", "department": "" }, { "first_name": "Elizabeth", "middle_name": "", "last_name": "Bonawitz", "name_suffix": "", "institution": "Rutgers University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26555/galley/16191/download/" } ] }