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The use of genetic algorithms and neural networks to investigate the Baldwin effect
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Source Symposium on Applied Computing archive
Proceedings of the 1999 ACM symposium on Applied computing table of contents
San Antonio, Texas, United States
Pages: 275 - 279  
Year of Publication: 1999
ISBN:1-58113-086-4
Authors
Michael Jones  Trinity University, San Antonio, Texas
Aaron Konstam  Trinity University, San Antonio, Texas
Sponsors
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ACKLEY, D., AND LITMAN, N{. Interactions bethe Second Conference on Artificial Life (Reading, MA, 1991), Addison-Wesley, pp. 487-509.
 
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BALDWIN, J. Development and Evolution: {n- Orthoplasy and Theory of Genetics. AMS Press, Nh~v. Vr~rlt NlV 1(10(1
 
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HAGEN, M. DEMUTH, H., AND BEALUE M. Neural Network Design. PWS, Boston, MA, 1995.
 
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HINTON, G. E., AND NOLWAN, S. J. How learning can guide evolution. Complex Systems / (1987), 495-502.
 
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SANTAMARIA, J., AND SUTTON, R. A standard interface for reinforcement learning, 1996. {http'//envy. cs.umass.edu/.-,rich/RLinterface / RLinterface.html}.
 
11
WALL, M. Galib, a collection of genotir' nrncrrnmmln ar Pnrn nAnont'. {http'//lancet.mit.edu}
 
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Collaborative Colleagues:
Michael Jones: colleagues
Aaron Konstam: colleagues