Parameter
- 323 Seiten
- 12 Lesestunden
Mehr zum Buch
"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
Buchkauf
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
- Sprache
- Erscheinungsdatum
- 2015
- product-detail.submit-box.info.binding
- (Hardcover)
Hier könnte deine Bewertung stehen.
- Titel
- Decision making under uncertainty : theory and application
- Sprache
- Englisch
- Autor*innen
- 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
- Verlag
- The MIT Press
- Erscheinungsdatum
- 2015
- Einband
- Hardcover
- Seitenzahl
- 323
- ISBN10
- 0262029251
- ISBN13
- 9780262029254
- Reihe
- Schlagwörter
- Sachbücher, Lehrbücher, Technologie & Industrie, Computer & Internet, Mathematik-Lehrbücher, Künstliche Intelligenz
- Bewertung
- 4,4 von 5 Sternen
- Beschreibung
- "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