Abstract
This paper shows how ontogenetic program- ming, an
enhancement to the genetic programming methodology,
allows for the automatic generation of adaptive
programs. Programs produced by ontogenetic programming
may include calls to self-modification operators. By
permitting runtime program self-modification, these
operators allow evolved programs to further adapt to
their environments. In this paper the ontogenetic
programming methodology is described and two examples
of its use are presented, one for binary sequence
prediction and the other for action selection in a
virtual world. In both cases the inclusion of
self-modification operators has a clear positive impact
on the ability of genetic programming to produce
successful programs.
Users
Please
log in to take part in the discussion (add own reviews or comments).