For anyone else interested in models of coevolution. It appears to me
that it's necessary to build this into an AI in order to give it the
feedback it needs from its environment--
I found the following to be good as background material for
understanding more recent research.
State of knowledge in 1993:
Genetic Algorithms and Artificial Life
Abstract: Genetic algorithms are computational models of evolution that
play a central role in many artificial-life models. We review the history
and current scope of research on genetic algorithms in artificial life,
using illustrative examples in which the genetic algorithm is used to
study how learning and evolution interact, and to model ecosystems,
immune system, cognitive systems, and social systems. We also outline a
number of open questions and future directions for genetic algorithms in
artificial-life research.
http://citeseer.nj.nec.com/mitchell93genetic.html
Cooperative Coevolution: An Architecture for Evolving Coadapted
Subcomponents (2000)
Abstract: To successfully apply evolutionary algorithms to the solution
of increasingly complex problems, we must develop effective techniques
for evolving solutions in the form of interacting coadapted
subcomponents. One of the major difficulties is finding computational
extensions to our current evolutionary paradigms that will enable such
subcomponents to "emerge" rather than being hand designed. In this paper,
we describe an architecture for evolving such subcomponents as a
collection of cooperating species. Given a simple stringmatching task, we
show that evolutionary pressure to increase the overall fitness of the
ecosystem can provide the needed stimulus for the emergence of an
appropriate number of interdependent subcomponents that cover multiple
niches, evolve to an appropriate
http://citeseer.nj.nec.com/potter00cooperative.html
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