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Identifying Structural Mechanisms in Standard Genetic Programming
Jason M. Daida and Adam M. Hilss
Center for the Study of Complex Systems
and the Space Physics Research Laboratory
The University of Michigan
2455 Hayward Avenue
Ann Arbor, Michigan 48109-2143
Abstract. This paper presents a hypothesis about an undiscovered class of mechanisms that exist in standard GP. Rather than being intentionally designed, these mechanisms would be an unintended consequence of using trees as information structures. A model is described that predicts outcomes in GP that would arise solely from such mechanisms. Comparisons with empirical results from GP lend support to the existence of these mechanisms.
LNCS 2724, p. 1639 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003