AN ADAPTIVE DECISION PROCESS
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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The thesis investigates a decision process which is designed to employ multiple observations in an optimal manner as a means of solving a signal detection problem. The characteristic of this decision process is that it permits the decision-maker to defer his detection decision until new data is obtained from the next observation and to weigh the new data with an opinion based on previous data. The effect of adapting a decision to the results of previous observations is seen to be similar to learning process which is taking place over a length of time. Since the decision process may involve relatively lengthy periods of time an estimator of this time is developed. Lastly, the decision model is seen to provide a model by which human detection behavior may be evaluated.