***** continued from last message ***** %J SIGART Newsletter %N 95 %P 29-31 %A Geoffrey E.

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 %J SIGART Newsletter
 %N 95
 %P 29-31
 
 %A Geoffrey E. Hinton
 %A Steven J. Nolan
 %T How Learning Can Guide Evolution
 %I Carnegie Mellon University
 %D 1986
 %R CMU-CS-86-128
 
 %A R. Colin Johnson
 %T Avoiding the AI Trap:  Synthetic Intelligence
 %D January 4, 1988
 %J Electronic Engineering Times
 
 %A Michel Kerszberg
 %T Genetics and epigenetics of neural wiring
 %J Snowbird Abstracts
 %D 1988
 
 %A Michel Kerszberg
 %T Genetic \^ and \^ Epigenetic \^ Factors \^ in \^ Neural \^ Circuit \^ Wiring 
 %D 1988
 %I Institut fu\*:r Festkorperforschung der
 %Z address:  Kernforschungsanlage Julich, D-5170 Jurlich, Federal Republic of Germany
 
 %A Michel Kerszberg
 %A Aviv Bergman
 %T The Evolution of Data Processing Abilities in Competing Automata
 %J Computer Simulation in Brain Science, Copenhagen, Denmark
 %D 1986
 
 %E Manfred Kochen
 %E Harold M. Hastings
 %T Advances in Cognitive Science:  Steps Toward Convergence
 %I Westview Press, Inc
 %S AAAS Selected Symposia Series
 %D 1988
 
 %A Chris Langton
 %T Artificial Life:  Electronics Frontier
 %J Electronic Engineering Times
 %X On the Los Alamos artificial life conference
 
 %E Christopher G. Langton
 %T Artificial Life:  The Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems
 %Z held September 1987 at Los Alamos, New Mexico
 %S Santa Fe Institute Studies in the Science of Complexity
 %D 1989
 %V VI
 %I Addison-Wesley
 
 %A Geoffrey F. Miller
 %A Peter M. Todd
 %A Shailesh U. Hegde
 %T Designing Neural Networks using Genetic Algorithms
 %J Proceedings of the Third International Conference on Genetic Algorithms
 %E J. David Schaffer
 %D 1989
 %I Morgan Kaufmann
 %P 379-384
 %X Use of interconnection/constraint matrices set by genetic search to instantiate ANNs to be trained by backprop
 
 %A E. Mjolsness
 %A D. H. Sharp
 %T A preliminary analysis of recursively generated networks
 %D 1986
 %J Proc. American Institute of Physics \(em Special Issue on Neural Nets
 
 %A Eric Mjolsness
 %A David H. Sharp
 %A Bradley K. Alpert
 %T Scaling, Machine Learning, and Genetic Neural Nets
 %D 1988
 %R YALEU/DCS/TR-613, Yale
 %R LA-UR-88-142, Los Alamos
 
 %A Eric Mjolsness
 %A David H. Sharp
 %A Bradley K. Alpert
 %T Genetic Parsimony in Neural Nets
 %J Snowbird '88 Abstracts
 %D 1988
 
 %A Eric Mjolsness
 %A David H. Sharp
 %A Bradley K. Alpert
 %T Scaling, Machine Learning, and Genetic Neural Nets
 %D 1989
 %J Advances in Applied Mathematics
 %V 10
 
 %A David J. Montana
 %A Lawrence Davis
 %T Training Feedforward Neural Networks Using Genetic Algorithms
 %J Proceedings of the Third International Conference on Genetic Algorithms
 %E J. David Schaffer
 %D 1989
 %I Morgan Kaufmann

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