作者:
John H. Miller
/
Scott E. Page 出版社: Princeton University Press 副标题: An Introduction to Computational Models of Social Life 出版年: 2007-3-25 页数: 288 定价: USD 37.50 装帧: Paperback 丛书:Princeton Studies in Complexity ISBN: 9780691127026
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 de...
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 ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
John H. Miller is professor of economics and social sciences at Carnegie Mellon University.
Scott E. Page is professor of complex systems, political science, and economics at the University of Michigan. He is the author of "The Difference" (Princeton).
Princeton Studies in Complexity(共17册),
这套丛书还有
《Robustness and Evolvability in Living Systems》《Generative Social Science》《The Complexity of Cooperation》《Robustness and Evolvability in Living Systems》《The Dynamics of Risk》
等
。
写得还挺好的一本用形式化方法阐述computation as social theory的书。蛮有趣的。杂感:形式化的书很容易写出民科感来。不是说这本书不好,只是读到「八正道框架」(第七章)的时候还感觉挺诈唬的。有趣的是学科似乎从来不与这些学者对话,或者说我还没观察到两者是如何互动的。比方说怎么处理偶然性?怎么处理micro-macro linkage?怎么处理时间性?或者在计算框架内,怎么理解优...写得还挺好的一本用形式化方法阐述computation as social theory的书。蛮有趣的。杂感:形式化的书很容易写出民科感来。不是说这本书不好,只是读到「八正道框架」(第七章)的时候还感觉挺诈唬的。有趣的是学科似乎从来不与这些学者对话,或者说我还没观察到两者是如何互动的。比方说怎么处理偶然性?怎么处理micro-macro linkage?怎么处理时间性?或者在计算框架内,怎么理解优化?怎么理解局部收敛和协调?路很宽广。(展开)
In addition to the utilities suggested by the title that the book is an introduction to the computational models of social complex adaptive system, this is a good book to learn about the new development in formalism in adaptive system, or more broadly nonli...
(展开)
2 有用 拉拉鸥 2013-06-12 16:19:51
怎么这么多书要读。。。
1 有用 daphoon 2014-01-01 19:29:12
在宾大的时候一个老师送给我的!
1 有用 睿符 2019-12-14 22:04:40
2017
2 有用 makzhou 2020-12-06 20:10:24
写得还挺好的一本用形式化方法阐述computation as social theory的书。蛮有趣的。杂感:形式化的书很容易写出民科感来。不是说这本书不好,只是读到「八正道框架」(第七章)的时候还感觉挺诈唬的。有趣的是学科似乎从来不与这些学者对话,或者说我还没观察到两者是如何互动的。比方说怎么处理偶然性?怎么处理micro-macro linkage?怎么处理时间性?或者在计算框架内,怎么理解优... 写得还挺好的一本用形式化方法阐述computation as social theory的书。蛮有趣的。杂感:形式化的书很容易写出民科感来。不是说这本书不好,只是读到「八正道框架」(第七章)的时候还感觉挺诈唬的。有趣的是学科似乎从来不与这些学者对话,或者说我还没观察到两者是如何互动的。比方说怎么处理偶然性?怎么处理micro-macro linkage?怎么处理时间性?或者在计算框架内,怎么理解优化?怎么理解局部收敛和协调?路很宽广。 (展开)