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{ "pk": 25895, "title": "Informative Transitions: A Heuristic for Conditionalized Causal Strength\nLearning", "subtitle": null, "abstract": "Controlling for alternative causes is essential for learning the strength of any one cause on an effect. Several\nprocesses have been proposed for how people control for alternative causes, including probabilistic contrasts within focal sets\nand associative processes. We investigated another mechanism called the informative transitions heuristic; people selectively\nattend to temporally adjacent observations (informative transitions; IT) in which the state of the target cause changes but\nthe alternative causes remain the same. Within ITs, whether the effect also changes in the same direction, does not change,\nor changes in the opposite direction implies that the target cause has a positive, neutral, or negative influence on the effect.\nParticipants judged the strength of the relationship between two drugs and a side effect in a trial-by-trial learning task. Causes\nwith more positive as opposed to neutral ITs were judged to have stronger causal relations, consistent with the IT heuristic.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/13s2m25r", "frozenauthors": [ { "first_name": "Cory", "middle_name": "", "last_name": "Derringer", "name_suffix": "", "institution": "University of Pittsburgh", "department": "" }, { "first_name": "Benjamin", "middle_name": "", "last_name": "Rottman", "name_suffix": "", "institution": "University of Pittsburgh", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25895/galley/15519/download/" } ] }