Decision Making Under Uncertainty: Theory and Application by Mykel J. Kochenderfer (Hardback, 2015)

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An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system.