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{ "pk": 33126, "title": "On the Roles of Search and Learning in Time-Limited Decision Making", "subtitle": null, "abstract": "Reported properties of human decision-making under time pressure are used to refme a hybrid, hierarchical re;isoner. The resultant system is used to explore the relationships among re?activity, heuristic reasoning, situation-based behavior, seiirch, and learning. The program first has the opportunity to react correctly. If no ready reaction is computed, the reasoner acti?vates a set of time-limited search procedures. If any one of them succeeds, it produces a sequence of actions to be exe?cuted. If they fail to produce a response, the reasoner resorts to collaboration among a set of heuristic rationales. A time?limited maze-exploration task is posed where traditional AI techniques fail, but this hybrid reasoner succeeds. In a series of experiments, the hybrid is shown to be both effective and efficient. The data also show how correct reaction, time-lim?ited search with reactive trigger, heuristic reasoning, and learning each play an important role in problem solving. Re?activity is demonstrably enhanced by brief, situation-based, intelligent searches to generate solution fragments.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "17", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/6r99484n", "frozenauthors": [ { "first_name": "Susan", "middle_name": "L.", "last_name": "Epstein", "name_suffix": "", "institution": "Hunter College , The Graduate School of The City University of New York", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1995-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33126/galley/24187/download/" } ] }