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Studies in Probabilistic Information Processing

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2 Author(s)
R. J. Kaplan ; The RAND Corporation, Santa Monica, Calif. ; J. R. Newman

This paper outlines a theory of Probabilistic Information Processing and describes three experimental studies testing that theory. The theory is based on certain principles of Bayesian statistical decision theory and is designed as an aid to human diagnostic decision-making. The experiments were concerned with certain types of military diagnostic decisions.

Published in:

IEEE Transactions on Human Factors in Electronics  (Volume:HFE-7 ,  Issue: 1 )