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Complexity : = a guided tour /
~
Mitchell, Melanie.
Complexity : = a guided tour /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Complexity :/ Melanie Mitchell.
其他題名:
a guided tour /
作者:
Mitchell, Melanie.
出版者:
Oxford ;Oxford University Press, : c2009.,
面頁冊數:
xvi, 349 p. :ill. ; : 25 cm.;
標題:
Complexity (Philosophy) -
電子資源:
http://www.loc.gov/catdir/toc/ecip0819/2008023794.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0912/2008023794-b.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0912/2008023794-d.html
ISBN:
9780195124415 (cloth) :
Complexity : = a guided tour /
Mitchell, Melanie.
Complexity :
a guided tour /Melanie Mitchell. - Oxford ;Oxford University Press,c2009. - xvi, 349 p. :ill. ;25 cm.
Includes bibliographical references (p. [326]-336) and index.
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.
ISBN: 9780195124415 (cloth) :NT847
LCCN: 2008023794
Nat. Bib. No.: GBA905832bnbSubjects--Topical Terms:
569116
Complexity (Philosophy)
LC Class. No.: Q175.32.C65 / M58 2009
Dewey Class. No.: 501
Complexity : = a guided tour /
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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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