Stuart Kauffman's 1993 book, Origins of Order,
is a technical treatise on his life's work in Mathematical Biology.
Kauffman greatly extends Alan Turing
's early work in Mathematical
Biology. The intended audience is other mathematical and theoretical biologists. It's chock full of advanced mathematics. Of particular
note, Origins of Order seems to be Kauffman's only published
work in which he states his experimental results about the
interconnection
between complex systems and neural networks.
Kauffman explains that a complex system
tuned with particular
parameters is a neural network. I can not overstate the
importance of the last sentence in the paragraph
above. The implication is that one basis for intelligence, biological
neural networks, can spontaneously self-generate given the correct
starting
parameters. Kauffman provides the mathematics to do this, discusses his
experimental results, and points out that the parameters in question
are an
attractor state.
Kauffman explains that a complex system
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