Decision Making Under Uncertainty – Theory and Application

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9780262029254: Decision Making Under Uncertainty – Theory and Application
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Mykel J. Kochenderfer; Christopher Amato; Girish Chowdhary; Jonathan P. How; Hayley J. Davis Reynolds
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre Etat : New. N° de réf. du vendeur 23749751-n

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Mykel J. Kochenderfer
Edité par The MIT Press (2015)
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre The MIT Press, 2015. Etat : New. book. N° de réf. du vendeur M0262029251

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Mykel J. Kochenderfer
Edité par MIT Press (2015)
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre MIT Press, 2015. HRD. Etat : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du vendeur WM-9780262029254

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Mykel J. Kochenderfer
Edité par MIT Press Ltd, United States (2015)
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre MIT Press Ltd, United States, 2015. Hardback. Etat : New. Language: English . Brand New Book. 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 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. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines. N° de réf. du vendeur AAH9780262029254

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5.

Mykel J. Kochenderfer
Edité par MIT Press Ltd, United States (2015)
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
Neuf Couverture rigide Quantité disponible : 10
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Book Depository International
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Description du livre MIT Press Ltd, United States, 2015. Hardback. Etat : New. Language: English. Brand new Book. 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 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.Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance.Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines. N° de réf. du vendeur AAH9780262029254

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Kochenderfer, Mykel J.
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre 2015. HRD. Etat : New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. N° de réf. du vendeur IB-9780262029254

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Mykel J. Kochenderfer, Christopher Amato (contributions), Girish Chowdhary (contributions), Jonathan P. How (contributions), Hayley J. Davison Reynolds (contributions), Jason R. Thornton (contributions), Pedro A. Torres-Carrasquillo (contributions), N. Kemal Üre (contributions), John Vian (contributions), Mykel J. Kochenderfer (contributions), Christopher Amato (contributions), Jason R. Thornton (contributions), Pedro A. Torres-Carrasquillo (contributions), N. Kemal Üre (contributions), Girish Chowdhary (contributions), Jonathan P. How (contributions), John Vian (contributions), Hayley J. Davison Reynolds (contributions)
Edité par The MIT Press 2015-08-11, Cambridge, Massachusetts (2015)
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Blackwell's
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Description du livre The MIT Press 2015-08-11, Cambridge, Massachusetts, 2015. hardback. Etat : New. N° de réf. du vendeur 9780262029254

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Kochenderfer, Mykel J.
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre 2015. HRD. Etat : New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. N° de réf. du vendeur KB-9780262029254

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Mykel J. Kochenderfer; Christopher Amato; Girish Chowdhary; Jonathan P. How; Hayley J. Davis Reynolds
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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KOCHENDERFER
ISBN 10 : 0262029251 ISBN 13 : 9780262029254
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Description du livre 2015. Hardback. Etat : NEW. 9780262029254 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. N° de réf. du vendeur HTANDREE01143807

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