Decision Making Under Uncertainty Theory and Application

Name: Decision Making Under Uncertainty
Author: Mykel J. Kochenderfer

Auteur: Mykel J. Kochenderfer

Taal: Engels

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Auteur: Mykel J. Kochenderfer Christopher Amato

Co-auteur: Christopher Amato Girish Chowdhary Hayley J. Davison Reynolds Jonathan P. How

Engels
Hardcover
9780262029254
17 juli 2015
352 pagina's

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Samenvatting

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.

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Inhoud

Taal: en
Bindwijze: Hardcover
Oorspronkelijke releasedatum: 17 juli 2015
Aantal pagina's: 352
Illustraties: Nee

Betrokkenen

Hoofdauteur: Mykel J. Kochenderfer
Tweede Auteur: Christopher Amato
Co Auteur: Jonathan P. How
Hoofduitgeverij: Mit Press

Overige kenmerken

Editie: 1
Extra groot lettertype: Nee
Product breedte: 178 mm
Product hoogte: 15 mm
Product lengte: 229 mm
Studieboek: Nee
Verpakking breedte: 178 mm
Verpakking hoogte: 229 mm
Verpakking lengte: 20 mm
Verpakkingsgewicht: 816 g

EAN

EAN: 9780262029254

Je vindt dit artikel in

Categorieën: Wetenschap & Natuur

Technologie & Bouwkunde

Computers & Informatica

Computertechnologie

Communicatietechnologie

Wiskunde

Kunstmatige intelligentie

Electrotechniek

Toegepaste wiskunde

Machine learning

Robotica

Boeken
Taal: Engels
Boek, ebook of luisterboek?: Boek
Beschikbaarheid: Leverbaar
Studieboek of algemeen: Algemene boeken

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