CONTROL OF A DISCRETE STOCHASTIC PROCESS AS A FUNCTION OF THE COSTS FOR MAKING CORRECTIVE ACTIONS.
Rept. for Dec 61-Feb 62,
AEROSPACE MEDICAL RESEARCH LABS WRIGHT-PATTERSON AFB OHIO
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This research examines mans ability to control a discrete stochastic process. The cost C1 for correcting the process before it exceeded an arbitrary tolerance limit served as the experimencal variable. The cost C2 for correcting this process after it exceeded the tolerance limit was fixed. For low C1 costs the human controller achieved optimum control i.e., minimized control cost within four 100-cycle trials. For high C1 costs the human controller achieved a level of control equivalent to that of the optimum controller on the first 100-cycle trial. An additional requirement to serve as a statistical sensor was imposed in controlling the process under low C1 cost conditions. The human controllers response to this requirement was appropriate. The implications of these results to the design of discrete stochastic process controllers is discussed. Author