Complex Adaptive Systems 2025 pdf epub mobi 电子书

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Complex Adaptive Systems 2025 pdf epub mobi 电子书著者简介

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).

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发表于2025-01-31

Complex Adaptive Systems 2025 pdf epub mobi 电子书

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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...

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本书总体上是试图去阐明仿真和计算方法对于研究复杂社会科学的意义。本书的写法是很细节、学术化的，我跳过了很多具体描述网络模型的章节，主要关注了作为一种方法论的动力学仿真能给社会科学带来什么样的视角。工具和方法塑造着研究者的观点，无论研究者本身愿不愿意承认。...

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出版者:Princeton University Press

作者:John H. Miller

出品人:

页数:288

译者:

出版时间:2007-3-25

价格:USD 37.50

装帧:Paperback

isbn号码:9780691127026

丛书系列:Princeton Studies in Complexity

图书标签: 复杂系统复杂性科学复杂性 complexity 社科社会学 modeling 建模

Complex Adaptive Systems 2025 pdf epub mobi 电子书图书描述

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.

Complex Adaptive Systems 2025 pdf epub mobi 电子书

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