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Book Description: It is now generally recognized that very simple dynamical systems can produce apparently random behaviour. Attention has recently turned to focus on the flip side of this coin: random looking time series (or random looking patterns in space) may indeed be the result of very complicated processes or 'real noise', but they may equally well be produced by some very simple mechanism (a low dimensional attractor). In either case, a long term prediction will be possible only in probabilistic terms. However, in the very short term, random systems will still be unpredictable but low dimensional chaotic ones may be predictable (appearances to the contrary). The Royal Society held a two day discussion meeting on topics covering diverse fields, including biology, economics, geophysics, meterology, statistics, epidemiology, earthquake science and many others, each topic covered by a leading expert in the field. The meeting dealt with different basic approaches to the problem of chaos and forecasting, and covered applications to nonlinear forecasting of both artificially generated time series and real data from context in the above mentioned diverse fields. This book forms an introduction to the science of chaos, with special reference to real data.

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