Controlling Uncertainty: Decision Making and Learning in Complex Worlds

ISBN-13: 9781405199469 / Angielski / Twarda / 2010 / 360 str.

Magda Osman

Opis

Controlling Uncertainty: Decision Making and Learning in Complex Worlds reviews and discusses the most current research relating to the ways we can control the uncertain world around us.

• Features reviews and discussions of the most current research in a number of fields relevant to controlling uncertainty, such as psychology, neuroscience, computer science and engineering
• Presents a new framework that is designed to integrate a variety of disparate fields of research
• Represents the first book of its kind to provide a general overview of work related to understanding control

Recenzje

"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)

Spis treści

Preface: The Master Puppeteer.

Acknowledgements.

1. Introduction.

2. Causation and Agency.

3. Control Systems Engineering.

4. Cybernetics, Artificial Intelligence and Machine Learning.

5. Human Factors (HCI, Ergonomics and Cognitive Engineering).

6. Social Psychology, Organizational Psychology and Management.

7. Cognitive Psychology.

8. Neuroscience.

9. Synthesis.

10. Epilogue: The Master Puppeteer.

References.

Index.

O autorze

Magda Osman is a Lecturer in Experimental Cognitive Psychology in Queen Mary University of London. She has published in a wide range of journals on topics ranging from problem solving in abstract, social, and applied settings; motor learning; conscious and unconscious reasoning and decision making; and the cognitive basis of deception.

Blurb

One thing we can state with certainty is that we are surrounded by uncertainty. Yet in the midst of uncertainty, there are a host of complex realms where we are able to manage desirable outcomes: these include biological (personal fitness levels); economic (playing the stock market); ecological (growing crops); industrial (maintaining a nuclear power plant); mechanical (driving); and management (running a company). What is it about these particular domains that make them complex? And, more importantly, how do we make those decisions to ensure that we achieve the outcomes we desire?

Controlling Uncertainty: Decision Making and Learning in Complex Worlds reviews and discusses the most current research relating to shaping our understanding of the ways we can control the uncertain world around us. The book presents an overview of precisely what it is that makes a situation uncertain by integrating key ideas from a variety of research disciplines engineering, psychology, human factors, computer science, and neuroscience. Correspondingly, it also describes the behaviours and skills we develop to cope with challenging and demanding situations.

Informed by the latest scholarship, Controlling Uncertainty offers illuminating insights into an exciting field of endeavor that is gaining in popularity just as our world grows ever more complex.