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"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 into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms, and a collection of example applications that range from speech recognition to aircraft collision avoidance."--Back cover

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Decision making under uncertainty : theory and application, Girish Chowdhary, N Kemal Üre, Hayley J Davison Reynolds, John Vian, Pedro A TorresCarrasquillo, Jonathan P How, Mykel J Kochenderfer, Jason R Thornton, Christopher Amato

Język
Rok wydania
2015
Oprawa
(twarda)
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4,4
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28 Ocena

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Tytuł
Decision making under uncertainty : theory and application
Język
angielski
Wydawca
MIT Press
Rok wydania
2015
Oprawa
twarda
Liczba stron
323
ISBN10
0262029251
ISBN13
9780262029254
Seria
Ocena
4,4 z 5
Opis
"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 into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms, and a collection of example applications that range from speech recognition to aircraft collision avoidance."--Back cover