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***** continued from last message ***** %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 ***** continued in next message *****

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