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Complexity : a guided tour / Melanie Mitchell.

Por: Tipo de material: TextoTextoDetalles de publicación: Oxford [England] ; New York : Oxford University, 2009.Descripción: xvi, 349 p. : il., mapas ; 25 cmISBN:
  • 9780195124415
  • 0195124413
Tema(s): Clasificación LoC:
  • Q 175.32.C65 M58.2009
Contenidos:
Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity.
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Tipo de ítem Biblioteca actual Colección Signatura topográfica Copia número Estado Fecha de vencimiento Código de barras
Libros Biblioteca Francisco Xavier Clavigero Acervo Acervo General Q 175.32.C65 M58.2009 (Navegar estantería(Abre debajo)) ej. 1 Disponible UIA073934
Libros Biblioteca Francisco Xavier Clavigero Acervo Acervo General Q 175.32.C65 M58.2009 (Navegar estantería(Abre debajo)) ej. 2 Disponible UIA073935

Background and history. What is complexity? ; dynamics, chaos, and prediction ; Information ; Computation ; Evolution ; Genetics, simplified ; Defining and measuring complexity -- Life and evolution in computers. Self-reproducing computer programs ; Genetic algorithms -- Computation writ large. Cellular automata, life, and the universe ; Computing with particles ; Information processing in living systems ; How to make analogies (if you are a computer) ; Prospects of computer modeling -- Network thinking. The science of networks ; Applying network science to real-world networks ; The mystery of scaling ; Evolution, complexified -- Conclusion. The past and future of the sciences of complexity.