pict and starting work on #47


very intriguing picture, from: MacKay, D. J. C. and Miller, K. D. (1990),
“Analysis of Linsker’s simulation of Hebbian rules”, Neural Computation, 2:173-187.

Haven’t really looked at that particular paper, but I am reading a lot about Neural Computation and Genetic Algorithms, without really knowing what the plan is:

about neural computation:

  • J. Hertz, A. Krogh, and R. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991.
  • James A. Anderson and Edward Rosenfeld (ed.), “Neurocomputing, Foundations of Research”, MIT Press, 1988.
  • R. Linsker, “Self-organization in a perceptual network,” Computer 21(3): 105-117, March 1988.


about evolutionary systems and ‘computational embryology’:

  • N. Jakobi. Harnessing morphogenesis. In Proceedings of Information Processing in Cells and Tissues, pages 29–41, 1995.
  • J. C. Bongard and R. Pfeifer. Repeated structure and dissociation of genotypic and phenotypic complexity in artificial ontogeny. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001, pages 829–836, 2001.
  • Sanjeev Kumar, Peter J. Bentley, “Computational embryology: past, present and future” Advances in evolutionary computing: theory and applications,  pp 461 – 477, 2003
  • Peter J Bentley and David W Corne, “Creative Evolutionary Systems” , Morgan Kaufmann, 2001.


about evolving neural networks:

  • D. J. Chalmers, “The evolution of learning: An experiment in genetic connectionism,” in Proc. 1990 Connectionist Models
    Summer School, D. S. Touretzky, J. L. Elman, and G. E. Hinton, Eds. San Mateo, CA: Morgan Kaufmann, 1990, pp. 81–90.
  • X. Yao. “Evolving artificial neural networks.” Proceedings of the IEEE, 87(9):1423–1447, 1999.
  • Kenneth O. Stanley, Risto Miikkulainen. “Efficient evolution of neural network topologies”, Proceedings of the 2002 Congress on Evolutionary Computation (CEC ’02), 1757-1762. Piscataway, NJ: IEEE, 2002
  • Jason Gauci, Kenneth O. Stanley: Generating large-scale neural networks through discovering geometric regularities. GECCO 2007: 997-1004
  • Siebel, N., Sommer, G., “Evolutionary reinforcement learning of artificial neural networks”, in International Journal of Hybrid Intelligent Systems (IJHIS), IOS Press, 4(3), pp. 171-183, October 2007.