| 刊年 | 2015 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (xxv, 323 p.) : ill. (some color), portraits |
| シリーズ名 | Lincoln Laboratory series
|
| 注記 | Includes bibliographical references and index
Restricted to subscribers or individual electronic text purchasers
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
Also available in print
Mode of access: World Wide Web
Description based on PDF viewed 12/29/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7288640(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Kochenderfer, Mykel J.
|
| ISBN | 9780262331708(: electronic bk)
|
| 無効/取消ISBN | 9780262029254(: electronic bk)
|
| 件名 | LCSH:Intelligentcontrolsystems
LCSH:Automaticmachinery
LCSH:Decisionmaking
|
| NCID | 7288640 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7288640 |