Compositional pattern producing networks: A novel abstraction of development

@article{Stanley2007CompositionalPP,
  title={Compositional pattern producing networks: A novel abstraction of development},
  author={Kenneth O. Stanley},
  journal={Genetic Programming and Evolvable Machines},
  year={2007},
  volume={8},
  pages={131-162}
}
  • Kenneth O. Stanley
  • Published 1 June 2007
  • Computer Science
  • Genetic Programming and Evolvable Machines
Natural DNA can encode complexity on an enormous scale. Researchers are attempting to achieve the same representational efficiency in computers by implementing developmental encodings, i.e. encodings that map the genotype to the phenotype through a process of growth from a small starting point to a mature form. A major challenge in in this effort is to find the right level of abstraction of biological development to capture its essential properties without introducing unnecessary inefficiencies… 
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