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.
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.
10. Epilogue: The Master Puppeteer.