***** continued from last message ***** %A H. Muhlenbein %A J. Kindermann %T The Dynamics

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***** continued from last message ***** %A H. Muhlenbein %A J. Kindermann %T The Dynamics of Evolution and Learning - Towards Genetic Neural Networks %D pre-1989 %I German National Research Center for Computer Science %Z adr: Postfach 1240, D-5205; St. Augustin 1 %A H. Muhlenbein %A J. Kinermann %T The Dynamics of Evolution and Learning \(em Towards Genetic Neural Networks %B Connectionism in Perspective %E R. Pfeifer %E Z. Schreter %E F. Fogelman-Soulie %E L. Steels %D 1989 %I Elsevier Science Publishers B.V. (North-Holland) %P 173-197 %A G. Deon Oosthuizen %T Machine Learning: A mathematical framework for neural network, sybmolic and genetics-based learning %J Proceedings of the Third International Conference on Genetic Algorithms %E J. David Schaffer %D 1989 %I Morgan Kaufmann %P 385-390 %X Shows equivalences between ANNs, GAs, and symbolic AI learning models. %A U. Ramacher %A M. Wesseling %T A Geometrical Approach to Neural Network Design %X possible analogy to developmental neuro-biology %J International Joint Conference on Nerual Networks %D 1989 %A Gerard Rinkus %T Learning as Natural Selection in a Sensori-Motor Being %I Dept. of Math & Computer Science, Adelphi University %A Rod Rinkus %T Learning and Pattern Recognition in Sensori-Motor Beings %D 1986 %I unpublished masters thesis, Hofstra University %A Mike Rudnick %T A Bibliography: The Intersection of Genetic Search and Artificial Neural Networks %D 1990 %R CS/E 90-001 %I Department of Computer Science and Engineering, Oregon Graduate Institute %A J. David Schaffer %A Richard A. Caruana %A Larry J. Eshelman %T Using Genetic Search to Exploit the Emergent Behavior of Neural Networks %C Los Alamos, NM %D 1990 %J Proceedings of the Emergent Computation 1989 Conference %E Stephanie Forest %E Selverston %T Model Neural Networks and Behaviour %D 1985 %I Plenum Press %X Contains section on neural deveolopment, but it's pretty biological and technical. %A John Maynard Smith %T When learning guides evolution %D 29 October 1987 %J Nature %P 761-762 %V 329 %A Branko Soucek %A Marina Soucek %T Neural and Massively Parallel Computers %D 1988 %I Wiley %X Broad overview. Includes ann and ga along with lots of other stuff. %A Peter Todd %T Evolutionary methods for connectionist architectures %D 1988 %I Psychology Department, Stanford University %A A. M. Uttley %T The probability of neural connexions %D 1955 %P 229-240 %Z march 1955, but what journal? %A C. H. Waddington %T Canalization of development and the inheritance of acquired characters %J Nature %D 1942 %V 150 %P 563-565 %A S. Waner %A H. M. Hastings ***** continued in next message *****

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