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

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 %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 %I unpublished masters thesis, Hofstra University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

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