Description
Book SynopsisControlling 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
Trade 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)
Table of ContentsPreface: 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.
