Abstract
The following report presents the preliminary results
and theoretical backgrounds of a multi-layer
evolutionary mechanism. The project aims at developing
a mechanism for automated agent design within a
pre-designed multi-layer architecture. The core
mechanism used in the experiments is a Genetic
Programming algorithm working in a specially designed
condition-action rules system. Described multi-layer
evolution paradigm is inspired by notion of the niche
& design spaces. There are presented plans for
experiments with the multi-layer coevolutionary
mechanism for parallel distributed search within
restrained search space. Attention is paid to
evolutionary mechanisms in general, with no commitments
to any particular problem. In theory the multi-layer
evolutionary process can be applied to a number of
systems and problems, e.g. to Genetic Programming.
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