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International Conference on Evolution, games and learning : models for adaptation in machines and nature

Detalles Bibliográficos
Autores principales: Farmer, Doyne, Lapedes, Alan, Packard
Lenguaje:eng
Publicado: 1986
Materias:
Acceso en línea:http://cds.cern.ch/record/109725
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author Farmer, Doyne
Lapedes, Alan
Packard
author_facet Farmer, Doyne
Lapedes, Alan
Packard
author_sort Farmer, Doyne
collection CERN
id cern-109725
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1986
record_format invenio
spelling cern-1097252021-04-22T21:58:20Zhttp://cds.cern.ch/record/109725engFarmer, DoyneLapedes, AlanPackardInternational Conference on Evolution, games and learning : models for adaptation in machines and natureOther Fields of Physicsoai:cds.cern.ch:1097251986
spellingShingle Other Fields of Physics
Farmer, Doyne
Lapedes, Alan
Packard
International Conference on Evolution, games and learning : models for adaptation in machines and nature
title International Conference on Evolution, games and learning : models for adaptation in machines and nature
title_full International Conference on Evolution, games and learning : models for adaptation in machines and nature
title_fullStr International Conference on Evolution, games and learning : models for adaptation in machines and nature
title_full_unstemmed International Conference on Evolution, games and learning : models for adaptation in machines and nature
title_short International Conference on Evolution, games and learning : models for adaptation in machines and nature
title_sort international conference on evolution, games and learning : models for adaptation in machines and nature
topic Other Fields of Physics
url http://cds.cern.ch/record/109725
work_keys_str_mv AT farmerdoyne internationalconferenceonevolutiongamesandlearningmodelsforadaptationinmachinesandnature
AT lapedesalan internationalconferenceonevolutiongamesandlearningmodelsforadaptationinmachinesandnature
AT packard internationalconferenceonevolutiongamesandlearningmodelsforadaptationinmachinesandnature