Chaos
Where Chaos begins, classical science ends. Ever since physicists have inquired into the laws of nature, they had not begun to explore irregular side of nature, the erratic and discontinuous side that has always puzzled scientists. They did not attempt to understand disorder in the atmosphere, the turbulent sea, the oscillations of the heart and brain, and the fluctuations of wildlife populations. All of these things were taken for granted until in the 1970's some American and European scientists began to investigate the randomness of nature. They were physicists, biologists, chemists and mathematicians but they were all seeking one thing: connections between different kinds of irregularity. "Physiologists found a surprising order in the chaos that develops in the human heart, the prime cause of a sudden, unexplained death. Ecologists explored the rise and fall of gypsy moth populations. Economists dug out old stock price data and tried a new kind of analysis. The insights that emerged led directly into the natural world- the shapes of clouds, the paths of lightning, the microscopic intertwining of blood vessels, the galactic clustering of stars."(Gleick, 23) The man most responsible for coming up with the Chaos Theory was Mit
After he started looking, chaos seemed to be everywhere. A system can best be defined as the understanding of the relationship between things, which interact. The generator of unpredictability in complex systems is what Lorenz calls "sensitivity to initial conditions" or "the butterfly effect. He gave that up because he could not bear to wake up to setting sun, which happened periodically. When a study resulted in strange answers, when a prediction usually came true but not this one time, the failure was blamed on experimental error or noise. The work represents a reunification of the sciences for many in the scientific community. The most complex system example is the weather, which, as demonstrated by Edward Lorenz, can only be effectively modeled with an exact duplicate of itself. To understand the Complexity theory people must understand the two words, nonlinear and system, to appreciate the nature of the science. Genetic algorithms are being applied to economic research and stock predictions. Theoretically, one can take a second group of stones which are the same weight, shape, and density of the first group, pile them in the same way as the first group, and predict that they will fall into a new configuration that is the same as the first group. For example, in a difficult pool shot a tiny error in aim causes a slight change in the ball's path. Like physics, the Chaos theory provides a foundation for the study of all other scientific disciplines. Chaos poses problems that defy accepted ways of working in science. .
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