Decision Making Under Uncertainty: Theory and Application
eBook
$48.99
By Mykel J. Kochenderfer, Christopher Amato (Contribution by), Girish Chowdhary (Contribution by), Jonathan P. How (Contribution by), Hayley J. Davison Reynolds (Contribution by)
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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.
Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the...



