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{ "pk": 31779, "title": "Where Does Systematicity Come From", "subtitle": null, "abstract": "H u m a n language and m e m o r y are only quasi-system-\natic. They are composed of context free\n(systematic) niappings, context sensitive mappings,\nand idiosyncrasies. Consequently, generalizations to\nnovel stimuli m a y be systematic if ihey result from\nthe context free mappings or m a y Ixxome\n\"regularized\" toward k n o w n stimuli if they result\nfrom the context sensitive mappings. T w o factors\nthat affect the degree of systematicity are the su-uc-\nture of the training corpus and the amount of atten-\ntion or vigilance paid to the task. M o r e systematic\nuaining corpora and more attention produce more\nsystematic responses and fewer specific context sen-\nsitive regularizations. A simple P D P model is used\nto demonstrate these phenomena. A 3-layer feedfor-\nward network learns an auto-associative mapping.\nUntrained stimuli are tested to see if the model\nwill respond with the systematic generalization or\nwith a specific regularization by activating the out-\nput pattern for the nearest trained neighbor.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Submitted Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/285643f5", "frozenauthors": [ { "first_name": "Mark", "middle_name": "F.", "last_name": "St. John", "name_suffix": "", "institution": "University of California, San Diego", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1993-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31779/galley/22847/download/" } ] }