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{ "pk": 27881, "title": "A Rational Distributed Process-level Account of Independence Judgment", "subtitle": null, "abstract": "It is inconceivable how chaotic the world would look to hu-mans, faced with innumerable decisions a day to be made un-der uncertainty, had they been lacking the capacity to distin-guish the relevant from the irrelevant—a capacity which com-putationally amounts to handling probabilistic independencerelations. The highly parallel and distributed computationalmachinery of the brain suggests that a satisfying process-levelaccount of human independence judgment should also mimicthese features. In this work, we present the first rational, dis-tributed, message-passing, process-level account of indepen-dence judgment, called D∗. Interestingly, D∗ shows a curi-ous, but normatively justified tendency for quick detection ofdependencies, whenever they hold. Furthermore, D∗ outper-forms all the previously proposed algorithms in the AI litera-ture in terms of worst-case running time, and a salient aspectof it is supported by recent work in neuroscience investigatingpossible implementations of Bayes nets at the neural level. D∗exemplifies how the pursuit of cognitive plausibility can leadto the discovery of state-of-the-art algorithms with appealingproperties, and its simplicity makes D∗ potentially a good can-didate as a teaching tool.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Ratinoal process models" }, { "word": "Distributed computing" }, { "word": "Probabilistic independence judgment" }, { "word": "Pearl's d-separation" } ], "section": "Publication-based-Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/529609rz", "frozenauthors": [ { "first_name": "Ardavan", "middle_name": "S", "last_name": "Nobandegani", "name_suffix": "", "institution": "McGill University", "department": "" }, { "first_name": "Ioannis", "middle_name": "N", "last_name": "Psaromiligkos", "name_suffix": "", "institution": "McGill University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27881/galley/17519/download/" } ] }