Thirteen college students participated individually in a multistage decision making task. The task consisted of eight different computer-controlled problems. The duration of each problem was not known to the decision maker. A dynamic programming model employing Bayesian notions was constructed for the adaptive decision making task, tested and confirmed. An alternative explanation is discussed briefly.
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