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ERIC Number: EJ881591
Record Type: Journal
Publication Date: 2010-Feb
Pages: 11
Abstractor: As Provided
Reference Count: 6
ISBN: N/A
ISSN: ISSN-0731-9258
Searching Algorithm Using Bayesian Updates
Caudle, Kyle
Journal of Computers in Mathematics and Science Teaching, v29 n1 p19-29 Feb 2010
In late October 1967, the USS Scorpion was lost at sea, somewhere between the Azores and Norfolk Virginia. Dr. Craven of the U.S. Navy's Special Projects Division is credited with using Bayesian Search Theory to locate the submarine. Bayesian Search Theory is a straightforward and interesting application of Bayes' theorem which involves searching for a lost object in one of several predefined search areas. Naval applications include, but are not limited to, searching for submarines, searching for someone who has fallen overboard, or searching for a pilot that has ejected from their aircraft. This procedure can provide "real world" meaning to probability theory and can also be used to teach basic simulation techniques to students in the context of a basic probability course. (Contains 4 figures.)
Association for the Advancement of Computing in Education. P.O. Box 1545, Chesapeake, VA 23327-1545. Tel: 757-366-5606; Fax: 703-997-8760; e-mail: info@aace.org; Web site: http://www.aace.org
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A