Decision making under uncertainty : theory and application

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Tác giả: Mykel J Kochenderfer

Ngôn ngữ: eng

ISBN-13: 978-0262331708

Ký hiệu phân loại: 003.56 Decision theory

Thông tin xuất bản: Cambridge, Massachusetts : MIT Press, 2015

Mô tả vật lý: 1 PDF (xxv, 323 pages) : , illustrations (some color), portraits.

Bộ sưu tập: Tài liệu truy cập mở

ID: 313740

 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.
Includes bibliographical references and index.
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