AI Bibliography
AI Bibliography |
|
 |
 |
 |
|
King, M., & Kay, J. (2020). Radical uncertainty: Decision-making for an unknowable future. Little, Brown Book Group. |
| Resource type: Book ID no. (ISBN etc.): 9781408712580 BibTeX citation key: King2020 View all bibliographic details  |
Categories: Decision Theory, General, Mathematics Subcategories: Decision making, Forecasting Creators: Kay, King Publisher: Little, Brown Book Group Collection: |
| Attachments |
| Abstract |
|
This major, critically acclaimed work asks a vitally important question for today: when uncertainty is all around us, and the facts are not clear, how can we make good decisions?
We do not know what the future will hold, particularly in the midst of a crisis, but we must make decisions anyway. We regularly crave certainties which cannot exist and invent knowledge we cannot have, forgetting that humans are successful because we have adapted to an environment that we understand only imperfectly. Throughout history we have developed a variety of ways of coping with the radical uncertainty that defines our lives. This incisive and eye-opening book draws on biography, history, mathematics, economics and philosophy to highlight the most successful - and most short-sighted - methods of dealing with an unknowable future. Ultimately, the authors argue, the prevalent method of our age falls short, giving us a false understanding of our power to make predictions, leading to many of the problems we experience today. |