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{ "pk": 25905, "title": "A Triple-Stopping Threshold System For a Sequential Decision Task: A Cast-Net\nStopping Rule Model", "subtitle": null, "abstract": "In this study compared single stopping rules models to the Cast-Net stopping rule model. The Cast-Net model\nassumes that several stopping rules can be used simultaneously to determine the stopping point to stop information search and\nto proceed to making a final decision. We analyzed whether the Cast-net model would pay the price for being more complex\nwhen compare to single stopping rule models (critical difference, fixed-sample size and runs). The models were compared\nunder different decision making conditions (time pressure and validity of recommendations). The model fitting procedure was\nconducted on the full data stopping-value distributions, by simultaneously fitting the correct and incorrect responses. Across\nvariety of experimental conditions, the general results supported the validity of the Cast-Net model. These results challenge\nmany decision making models that utilize only one type of a stopping rule, and may provide a new direction in the exploration\nof cognitive computational models.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/8r7992p6", "frozenauthors": [ { "first_name": "Mario", "middle_name": "", "last_name": "Fific", "name_suffix": "", "institution": "Grand Valley State University", "department": "" }, { "first_name": "Marcus", "middle_name": "", "last_name": "Buckmann", "name_suffix": "", "institution": "Max Planck Institute for Human Development", "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/25905/galley/15529/download/" } ] }