Stephen Wolfram, is a very knowledgeable scientist that does not seem to be satisfied with what he knows already because he knows there is so much more out there to be discovered and learned. He has spent many years of his life studying, learning, experimenting, and silently working on his book, A New Kind of Science. Although he initially received various reactions about his book, some good and some what were not, he opted to have 50,000 copies of his book printed. His book was released on May 14, 2002 and surprisingly enough, all 50,000 copies of his book were spoken for by the end of the day which gave him more motivation to continue on with the studies he had begun. Another one of his creations he introduced in 1988 was Mathematica, a computational software program used in many scientific, engineering, mathematical and computing fields based on symbolic mathematics.
His creation of Mathematica was the tool used to make A New Kind of
Science possible. His book, A New Kind of Science was released on May
14, 2002, was primarily written to a wide range of fundamental problems
in science such as the possibility of a truly fundamental theory of
physics, the development of complexity in biology, the interplay between
free will and determinism, and the character of intelligence in the
universe. His goal was to have three big things emerge: a new area of
basic science concerned with understanding what is out there in the
computational world, many applications to science and technology amongst
other things that nature can do, and to obtain a conceptual direction
to be able to better understand the fundamental characters of science
and mathematics and the places we have in our universe.
“Well this is rather
amazing. We have a very simple rule, we’re
starting off from single black cell, but what we’re getting out is an incredibly
complicated pattern, seems in many ways random. So it just doesn’t seem right,
we put so little in, yet we’re getting so much out. It’s not what our ordinary intuition says
should happen. I mean, in our everyday
experience in say, doing engineering, what we’re used to is that to make
something complicated we somehow have to start off with complicated plans or
use complicated rules, but what we’re seeing here is that actually even
extremely simple rules can produce incredibly complicated behavior”
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