Complexity a guided tour /

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi matua: Mitchell, Melanie
Kaituhi rangatōpū: ebrary, Inc
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Oxford [England] ; New York : Oxford University Press, 2009.
Ngā marau:
Urunga tuihono:An electronic book accessible through the World Wide Web; click to view
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Rārangi ihirangi:
  • 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.