Identifying structural mechanisms in standard genetic programming

  • Authors:
  • Jason M. Daida;Adam M. Hilss

  • Affiliations:
  • Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan;Center for the Study of Complex Systems and the Space Physics Research Laboratory, The University of Michigan, Ann Arbor, Michigan

  • Venue:
  • GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
  • Year:
  • 2003

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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.