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{ "pk": 30843, "title": "A Framework for Psychological Causal Induction: Integrating the Power and Covariation Views", "subtitle": null, "abstract": "We propose a theoretical framework for interpreting the roles of covariation and the idea of in psychological causal induction. According to this framework, the computation of inference is purely covariation-based, but covariation is computed only on a set of selected dimensions in a set of selected events. Whether or not a dimension has power or efficacy exerts an influence on whether or not that dimension is selected. W e present an experiment testing two predictions based on this framework. Our experiment showed a strong bias towards inferring a movement by a human agent (compared to a state) to be the cause of an event. In support of our hypothesis, this bias was found only when the state was not salient and the inference was made within a relatively short time, suggesting that the bias occurred at the selection stage.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Poster Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/5n77r4fk", "frozenauthors": [ { "first_name": "Yuann-wen", "middle_name": "", "last_name": "Lien", "name_suffix": "", "institution": "University of California Los Angeles", "department": "" }, { "first_name": "Patricia", "middle_name": "W.", "last_name": "Cheng", "name_suffix": "", "institution": "University of California Los Angeles", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1989-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30843/galley/20692/download/" } ] }