Computational approached to studying evolution in biology
From enfascination
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</bibtex> | </bibtex> | ||
− | [[Patterns of parapatric speciation Gavrilets, Li, Vose 2000]] | + | *[[Patterns of parapatric speciation Gavrilets, Li, Vose 2000]] |
+ | *[[How Learning canGuide Evolution Hinton, Nowlan 1987]] | ||
+ | *[[Mechanisms of Large Scale evolutionary trends McShea 1994]] |
Revision as of 23:22, 27 March 2009
I hav a lot of Bedau papers. I like that he is using GAs to research evolution. computational/theoretical/modeling approach to biology. Still have to learn more. It is a little hard to place him, I guess that reflects well on him.
GA and theoretical evolutionary theory
<bibtex> @conference{bedau:clt,
title=Template:A classification of long-term evolutionary dynamics, author={Bedau, M.A. and Snyder, E. and Packard, N.H.}, booktitle={Artificial Life VI: Proc. of the Sixth Int. Conf. on Artificial Life}, pages={228--237}
} </bibtex> <bibtex> @conference{packard1997cea,
title=Template:A comparison of evolutionary activity in artificial evolving systems and in the biosphere, author={Packard, N.H.}, booktitle={Fourth European conference on artificial life}, pages={125}, year={1997}, organization={MIT Press}
} </bibtex> <bibtex> @article{miconi2008ftg,
title=Template:Fitness Transmission: A Genealogic Signature of Adaptive Evolution, author={Miconi, T.}, journal={Artificial Life}, volume={11}, pages={404}, year={2008}
} </bibtex>