Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
The evolution of evolvability in genetic programming
Advances in genetic programming
Effects of locality in individual and population evolution
Advances in genetic programming
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
VECPAR '00 Selected Papers and Invited Talks from the 4th International Conference on Vector and Parallel Processing
A graphical user interface for evolutionary algorithms
Acta Cybernetica
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Genetic programming has been used to evolve decision trees for classification [Koza, 1992] but its role as an inductive learner remains elusive. This paper examines a possible role of genetic programming as a learner in a cultural co-evolution model of learners developed by Hunter. We demonstrate that this cooperation allows classification to evolve much faster than their individual components and report encouraging results on a class of problems.