Author: Jerry D. TatePublisher:
ISBN:
Category :
Languages : en
Pages : 28
Book Description
Term Expectation and Uncertainty in Human Decision Behavior
Author: Jerry D. TateU.S. Government Research Reports
Author: Scientific and Technical Aerospace Reports
Author: Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 972
Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
The Great Mental Models, Volume 1
Author: Shane ParrishPublisher: Penguin
ISBN: 0593719972
Category : Business & Economics
Languages : en
Pages : 209
Book Description
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
A Bibliography of Reports Issued by the Behavioral Sciences Laboratory
Author: United States. 6570th Aerospace Medical Research Laboratories. Behavioral Sciences LaboratoriesPublisher:
ISBN:
Category : Aviation medicine
Languages : en
Pages : 152
Book Description
Decision Making Under Uncertainty
Author: Mykel J. KochenderferPublisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350
Book Description
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.
A Bibliography of Reports Issued by the Behavioral Sciences Laboratory
Author: Lavon E. TryggPublisher:
ISBN:
Category : Aviation medicine
Languages : en
Pages : 100
Book Description
A Bibliography of Reports Issued by the Behavioral Sciences Laboratory
Author: Aerospace Medical Research Laboratories (U.S.). Behavioral Sciences LaboratoryPublisher:
ISBN:
Category : Aviation medicine
Languages : en
Pages : 92
Book Description
Human Factors Engineering Bibliographic Series
Author: Decision Making under Uncertainty
Author: Kerstin PreuschoffPublisher: Frontiers Media SA
ISBN: 2889194663
Category : Biological psychiatry
Languages : en
Pages : 144
Book Description
Most decisions in life are based on incomplete information and have uncertain consequences. To successfully cope with real-life situations, the nervous system has to estimate, represent and eventually resolve uncertainty at various levels. A common tradeoff in such decisions involves those between the magnitude of the expected rewards and the uncertainty of obtaining the rewards. For instance, a decision maker may choose to forgo the high expected rewards of investing in the stock market and settle instead for the lower expected reward and much less uncertainty of a savings account. Little is known about how different forms of uncertainty, such as risk or ambiguity, are processed and learned about and how they are integrated with expected rewards and individual preferences throughout the decision making process. With this Research Topic we aim to provide a deeper and more detailed understanding of the processes behind decision making under uncertainty.