[PDF.68bv] Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
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Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
John H. Miller, Scott E. Page
[PDF.of07] Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
Complex Adaptive Systems: An John H. Miller, Scott E. Page epub Complex Adaptive Systems: An John H. Miller, Scott E. Page pdf download Complex Adaptive Systems: An John H. Miller, Scott E. Page pdf file Complex Adaptive Systems: An John H. Miller, Scott E. Page audiobook Complex Adaptive Systems: An John H. Miller, Scott E. Page book review Complex Adaptive Systems: An John H. Miller, Scott E. Page summary
| #326141 in Books | Princeton University Press | 2007-03-25 | Original language:English | PDF # 1 | 9.24 x.70 x6.24l,.93 | File type: PDF | 288 pages | Princeton University Press||0 of 0 people found the following review helpful.| Great ideas. Good survey of the field.|By Lawrence LaPointe|I was hooked by a very strong introduction. The authors have great command of the field and they offer a very clear, compelling invitation to the field of complex adaptive systems. In particular relatively weighty concepts are distilled to simple ideas which is only possible if you are a real domain expert. Later chapt
This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and...
You can specify the type of files you want, for your device.Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity) | John H. Miller, Scott E. Page. A good, fresh read, highly recommended.