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Controlling Uncertainty: Decision Making and Learning in Complex Worlds 1st Edition

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ISBN-13: 978-1405199469
ISBN-10: 1405199466
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Editorial Reviews

Review

"The concepts are presented thoughtfully, clearly, and engagingly." (Booknews, 1 February 2011)

"Osman (experimental cognitive psychology, Queen Mary U., England) brings key ideas from a variety of research disciplines together to review and examine current research on how people can control the uncertainties around them." (Reference and Research Book News, February 2011)

Review

"A clear explanation and integration of complex system ideas in layperson’s language."
Thomas B. Sheridan, Professor Emeritus, Massachusetts Institute of Technology, US

‘The control of complex dynamic tasks is a topic that spans various and sundry cognitive and social sciences. Bringing unity to these studies has been hampered by differences in jargon and differences in paradigms. Magda Osman has turned her encyclopedic mind to this problem in an attempt to review these diverse literatures from a common perspective. What she gains is a theoretical unity and purpose of vision that will advance the scientific study of the control of complex dynamic task for many years to come.’
Professor Wayne D. Gray, Rensselaer Polytechnic Institute, US

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Product Details

  • Hardcover: 360 pages
  • Publisher: Wiley-Blackwell; 1 edition (October 11, 2010)
  • Language: English
  • ISBN-10: 1405199466
  • ISBN-13: 978-1405199469
  • Product Dimensions: 6.5 x 1 x 9.4 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #6,273,478 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

1 of 1 people found the following review helpful By Overly Curious Cat on January 13, 2011
Format: Hardcover
This book does an good job of drawing out the common threads of the need to cope with uncertain environments in the largely separate research traditions associated with the disparate areas of AI, human factors, control systems, cognitive psychology and neuroscience. It then draws these threads together in a synthetic summary that will be useful to anyone who is interested in the problem of coping with uncertainty. This book will probably be particularly useful to someone who is an expert in one of these research domains while being only vaguely if at all familiar with the others. For example, as a cognitive psychologist, I found this book was telling me interesting things from other disciplines that I would probably not have come across on my own.
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Controlling Uncertainty: Decision Making and Learning in Complex Worlds
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