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Holism / Computational neuroscience / Neural networks / Genetics / Modularity / Evolvability / Evolution / Günter P. Wagner / Artificial neural network / Biology / Science / Evolutionary biology


Neural Systems and Artificial Life Group, Institute of Psychology, National Research Council, Rome A case study of the evolution of modularity: towards a bridge between evolutionary biology, artificial life, neuro- and
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Document Date: 2013-07-02 08:15:26


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City

Sunderland / New York / Jacobs / Rome / Lausanne / London / /

Company

Neural Systems / Cambridge University Press / MIT Press / Artificial Life Group / Princeton University Press / John Wiley and Sons / /

Country

Netherlands / Jordan / United Kingdom / /

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Event

Person Communication and Meetings / /

Facility

Artificial Life Institute of Psychology / Yale University / Institute of Psychology / /

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IndustryTerm

control algorithms / random search / parallel processing / sub-networks / evolutionary algorithms / artificial systems / basic processing elements / genetic algorithm / cortical visual systems / Parallel distributed processing / natural and artificial systems / control systems / genetic algorithms / /

Organization

Cambridge University / National Research Council / Center of Computational Ecology / MIT / Department of Neural Systems / Department of Ecology and Evolutionary Biology / Research Group on Artificial Life / Princeton University / Yale University / Institute of Psychology / Royal Society / Social Science Statistics Lab / National Advisory Committee for Biological and Medical Sciences / Social Science Statistics Lab at Yale University / /

Person

John Bonner / P. Wagner / Maynard Smith / Futuyma / John W. Emerson / Domenico Parisi / /

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Position

D. J. / Zoologist / G. P. / Warden / /

ProgrammingLanguage

RC / /

ProvinceOrState

New Jersey / New York / Massachusetts / /

PublishedMedium

The Behavioral and Brain Sciences / Yearbook of Physical Anthropology / Journal of Cognitive Neuroscience / Molecular Biology and Evolution / /

Technology

Neuroscience / genetic algorithm / neural network / control algorithms / artificial intelligence / genetic code / how genetic algorithms / molecular evolution / simulation / genotype / recombination / parallel processing / /

URL

http /

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