Abstract
Evolutionary computation systems exhibit various
emergent phenomena, primary of which is adaptation. In
genetic programming, because of the indeterminate
nature of the representation, the evolution of both
recombination distributions and representations can
emerge from the population dynamics. A review of ideas
on these phenomena is presented, including theory on
the evolution of evolvability through differential
proliferation of subexpressions within programs. An
analysis is given of a model of genetic programming
dynamics that is supportive of the ``Soft Brood
Selection'' conjecture, which was proposed as a means
to counteract the emergence of highly conservative
code, and instead favor highly evolvable
code.
Copyright 1996 Lee Altenberg
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