Subjective bayesian methods for rule-based inference systems
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
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An approach is described for developing methods for "data fusion": given how events A & B occurring by themselves influence some measure, estimate the influence (on that measure) of A and B occurring together. An example is "combine the effects of evidence on the belief (likelihood) of some hypothesis." This approach also deals with the opposite problem of estimating the effects on a measure of A and B by themselves when only their combined effects are known: data fusion. The methods developed will both 1) try to make intuitive estimations at information not given, and 2) not conflict with any information given (unless it is inconsistent).