One of the driving forces behind much of modern science and
technology is the desire to foresee and thereby control the
future. In recent years, however, it has become clear that,
even in a deterministic world, there is alimit to the
accuracy with which we can predict the future. This book
details, in a largely nontechnical style, the extent to
which we can predict the future development of various
physical, biological and socio-economic processes.
This book will appeal to a wide audience of scientists from all fields. It presents a broadranging discussion of the extent to which science and mathematics enable us to predict, and thereby control, the future. Examples are taken from physical, biological and socio-economic systems.
Yurii A. Kravtsov
Chaos Economy Nonlinear Processes Predictability chaos theory deterministic chaos dynamical systems forecasting information theory nonlinearity optimization