Evolution, development and learning using self-modifying cartesian genetic programming

Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This paper asks: Is it possible to evolve a learning algorithm using SMCGP? Categories and Subject Descriptors I.2 [Artificial Intelligence]: Learning; I.2 [Artificial Intelligence]: Automatic Programming General Terms Algorithms Keywords Developmental systems, genetic programming

• Type: Conference
• Year: 2009
• Where: GECCO
• Authors: Simon Harding, Julian Francis Miller, Wolfgang Banzhaf
• Keywords: Artificial Intelligence, Cartesian Genetic Programming, GECCO 2009, Genetic Programming, Optimization