作者ANUBISANKH (有点黑暗的大二)
看板NTUNL
标题刊在物理系学会刊物的稿子
时间Fri Oct 1 02:30:34 2004
这是最终版本(written by Anubis; edited by yjflower)
(特此感谢物理系陈妍君学姊之修改)
Nonlinear Science and Science Fiction
--- A look at the “chaotic” messages hidden in Jurassic Park
By NTUNL Anubis Pai 2004/9/28
In 1990, science-fiction writer Michael Crichton wrote a fascinating novel,
which was later adapted to a well-known blockbuster, Jurassic Park. Steven
Spielberg, an outstanding director, along with his CGI team, decorated the
original storyline with amazing computer animations, bringing extinct creatures
back to life. The story caught many dinosaur fans' eyes, as well as two types
of scientists, genetic engineers and nonlinear scientists.
The original novel was actually elaborately based on Chaos theory (a major
subset of nonlinear science), which was also the hottest subject during the
time of the movie. A mathematician in the story predicted that a tiny error
in Jurassic Park (such as a computer program defect) would lead to mass
destruction. This kind of scenario is known as “The Butterfly Effect”, named
by Ed N. Lorenz. A nonlinear system has an important characteristic: it is
highly sensitive to initial conditions. Hearing this, one might ask, isn't a
classical dynamical system supposed to be (such as the variance of weather)
deterministic, depending on initial conditions? Well, nonlinear systems are
sometimes said to be “unpredictable determinism” because we can't control
all the variables that affect the system, and this factor leads to surprising
results
The systems which scientists often study are “closed systems”. Jurassic
Park, as you know, is an isolated island, a perfectly closed dynamical system.
It is known that the effects in a closed nonlinear system are more likely to
show chaos compared to an open system.
Five years after Jurassic Park was published, Michael Crichton came up with
another idea to continue his never-ending dinosaur adventure. The Lost World
(novel) introduced not only a better dinosaur wild ride, but also an overview
of a prospering science: Complexity Science. This is a new branch of science
born only 20 years ago. Scientists coming from fields including biology,
physics, economics, and computer science discovered (realized) that the world
is a huge complex system, which behaves “between order and chaos” or, “on
the edge of chaos”. Well-known experimental examples of this area are
“Artificial Life”, “Cellular Automata”, “Life Game”, and “Neural
Networks”. Scientists discuss these systems qualitatively, in order to find
the trend of evolution (of systems). Though it's a brand new blooming science,
remarkable research results are few. Complex systems are too difficult to
study in all aspects.
Just like some artificial experiments, The Lost World first described a
self-organized system with its own evolution rules. Then the system showed
some obscure phenomena as time went by. It was a miniature of a social
structure, an ecological system, and a biological sphere. Though Michael
Crichton may not be the most creative SF writer, he is indeed a skillful
storyteller with enthusiasm for modern science. And his books really tell us
about the frontier of science, including Chaos theory, Complex system, and
nonlinear science.
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==阿公勒?==
=====国栋大师=====
(译:啊,这个"功"要怎麽求呢?)
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