These are excerpts and elaborations from my book "The Nature of Consciousness"
Design Without a Designer Why do children grow up? Why
aren't we born adults? Why do all living things (from organs to ecosystems)
have to grow, rather than being born directly in their final configuration? Darwin's principle was that given a population and fairly elementary rules of
how the population can evolve (mainly, variation and natural selection), the
population will evolve, and get better and better (adapted) over time. Whether natural selection is really the
correct rule is a secondary issue. Darwin’s powerful idea was that the target
object can be reached not by designing it and then building it, but by taking a
primitive object and letting it evolve.
The target object will not be built: it will emerge. Trees are not built, they grow. Societies
are not built, they form over centuries. Most of the interesting things that we
observe in the world are not built, they developed slowly over time. How they
happen to be the way they are depends to some extent on the advantages of being
the way they are and to some extent on mere chance. When engineers build a
bridge, they don't let chance play with the design and they don't assume that
the bridge will grow by itself. They know exactly what the bridge is going to
look like and they decide on which day construction will be completed. They know
that the bridge is going to work because they can use mathematical formulas.
Nature seems to use a different system, in which things use chance to vary, and
then variation leads to evolution because of the need for adaptation. By using
this system, Nature seems to be able to obtain far bigger and more complex
structures than humans can ever dream of building. It is ironic that, in the
process, Nature uses much simpler mathematics. Engineers need to deal with
derivatives and cosines. Nature's mathematics (i.e., the mathematics involved
in genetic variation) is limited to Arithmetic. Humans have developed a system that is much more complex than
anything Nature has ever dreamed of using! It is stunning that such
simple algorithms as used by Nature can produce the complexity of living
organisms. Each algorithm can be reduced to even simpler steps. And still the
repeated application of those steps eventually yields the complex order of
life. The same theme occurs inside
the brain. Neurons exchange simple messages, but the network of those messages
over time can produce the very complex behavior of the human mind. That is
another simple algorithm that creates complexity. In both cases the algorithm
is simple, but there is a catch. The algorithm is such that every time it ends
it somehow remembers the result of its computation and will use it as the
starting point for the next run. Species are selected out of the most recently
selected species. Neural connections are modified out of the connections
already established. Back to the beginning of the chapter "Self-organization and the Science of Emergence" | Back to the index of all chapters |