abstract = "The study of artificial life involves simulating
biological or sociological processes with a computer.
Combining artificial life with techniques from
evolutionary computation frequently involves modelling
the behaviour or decision processes of artificial
organisms within a society in such a way that genetic
algorithms can be applied to modify these models and
enhance behavior over time. Typically, endogenous
fitness is used with co-evolution. We explore the use
of an exogenous fitness function with genetic
programming and co-evolution to develop individuals and
species capable of competing in a hostile environment.
To facilitate the study, we use a commercially
available environment-AI Wars-to host the organisms and
run the experiments. Results from our experiments,
though preliminary, indicate the ability of
coevolution, genetic programming, and exogenous fitness
to evolve fit individuals. The results also suggest the
ability to assess the nature of the fitness landscape
and the impact of various fitness factors on
notes = "CEC-99 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.