Article Instance
API Endpoint for journals.
GET /api/articles/30710/?format=api
{ "pk": 30710, "title": "A Dynamical Theory of the Powe-Law of Learning in Problem-Solving", "subtitle": null, "abstract": "The ubiquitous power-law of practice has been a touch-tone of cognitive models. It predicts that the speed of performance of a task will improve as the power of the number of times that the task is performed. In this paper we derive the power-law from a graph dynamical theory of learning by considering change^ in problem->space graph topology due to the addition of operators,and alterations in the decision-procedure used to decide which operator to apply at a particular.The general approach of applying dynamical principle.-^ to cognitive problems holds much promise in unifying other' areas of learning and intelligent activity.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "learning" }, { "word": "Chunking. Macro Operator Formation. Power-Law Speedup. Problem-Solving" }, { "word": "Practice." } ], "section": "Paper Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/31t5v901", "frozenauthors": [ { "first_name": "Jeff", "middle_name": "", "last_name": "Shrager", "name_suffix": "", "institution": "Xerox PARC", "department": "" }, { "first_name": "Tad", "middle_name": "", "last_name": "Hogg", "name_suffix": "", "institution": "Xerox PARC", "department": "" }, { "first_name": "Bernardo", "middle_name": "A.", "last_name": "Huberman", "name_suffix": "", "institution": "Xerox PARC", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1988-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30710/galley/20559/download/" } ] }