2026-09-19T16:52:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/462772026-06-06T01:04:26Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Robert Freund and Gordon Kaufman.
Cohen, Jeremy S. (Jeremy Stein), 1975-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-06-30T18:47:08Z
2009-06-30T18:47:08Z
1998
1998
http://hdl.handle.net/1721.1/46277
47095288
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (leaves 64-65).
The "RIK" (Reasoning with Incomplete Knowledge) algorithm, a mathematical programming based algorithm for performing probabilistic inference on (possibly) incompletely specified systems of discrete events is reviewed and implemented. Developed by Myers, Freund, and Kaufman, it is a tractable reformulation of the computational approach implicit to the Fundamental Theorem of Probability as stated by De Finetti and extended by Lad, Dickey and Rahman. Enhancements to the original algorithm are presented and several applications of the algorithm to real-world systems including fault trees and belief networks are explored. The system is solved successfully for moderately large problems, providing practical information for system designers coping with uncertainty.
by Jeremy S. Cohen.
M.Eng.
S.B.
65 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Implementation and application of the fundamental theorem of probability
Thesis
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