A bluffer's guide to chaos theory 5
July 26th 2006 06:01
Today's post will be about the possible applications of chaos theory.
Chaos theory has obvious applications in the world, as most real world situations are chaotic, with none chaotic theories of physics normally approximating the real situations. Examples of where it is useful include biological systems, physical systems and economics.
In biological systems chaos theory can be used to monitor and predict population growth and the spread of disease. Both of these are very chaotic systems, but also systems that it is important to understand.
In economics chaos theory can be used to predict the actions of the stock exchange. Adding chaos theory to predictive systems makes them much more accurate.
Fractals, an important part of chaos theory, are very useful in studying a huge amount of areas. They are present throughout nature, and so can be used to help predict many things in nature. They can also help simulate nature, as in graphics design for movies (animating clouds etc), or predict the actions of nature.
Chaos theory has obvious applications in the world, as most real world situations are chaotic, with none chaotic theories of physics normally approximating the real situations. Examples of where it is useful include biological systems, physical systems and economics.
In biological systems chaos theory can be used to monitor and predict population growth and the spread of disease. Both of these are very chaotic systems, but also systems that it is important to understand.
In economics chaos theory can be used to predict the actions of the stock exchange. Adding chaos theory to predictive systems makes them much more accurate.
Fractals, an important part of chaos theory, are very useful in studying a huge amount of areas. They are present throughout nature, and so can be used to help predict many things in nature. They can also help simulate nature, as in graphics design for movies (animating clouds etc), or predict the actions of nature.
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