出版社: Oxford University Press, USA
出版年: 2009-04-01
ISBN: 9780195124415
页数: 366
装帧: Hardcover
定价: USD 29.95
内容简介 · · · · · ·
As science probes the nature of life, society, and technology ever more closely, what it finds there is complexity. The sophisticated group behavior of social insects, the unexpected intricacies of the genome, the dynamics of population growth, and the self-organized structure of the World Wide Web - these are just a few examples of complex systems that still elude scientific u...
As science probes the nature of life, society, and technology ever more closely, what it finds there is complexity. The sophisticated group behavior of social insects, the unexpected intricacies of the genome, the dynamics of population growth, and the self-organized structure of the World Wide Web - these are just a few examples of complex systems that still elude scientific understanding. Comprehending such systems seems to require a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. This remarkably accessible and companionable book, written by a leading complex systems scientist, provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. In this richly illustrated work, Melanie Mitchell describes in equal parts the history of ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some of the most important scientific questions of our current century.
作者简介 · · · · · ·
Melanie Mitchell is a professor of computer science at Portland State University. She has worked at the Santa Fe Institute and Los Alamos National Laboratory. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited
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0 有用 Saloptus 2020-01-20 18:00:36
1.Halting problem与哥德尔不完备定理的证明在概念上是相通甚至等价的。2.自然中的计算是复杂系统为适应性而对信息的处理。3.Cellular automata的碰撞线本身是信息的传递和处理。4.复杂系统最终能形成科学的真正挑战是是否能有可解释自组织、涌现等现象的概念体系和数学工具(相当于微积分对牛顿力学意义上的)。
0 有用 同人于野 2010-06-22 01:29:50
相当不错。介绍了一些前沿,但是还不够猛!
0 有用 尘中之尘 2018-08-02 23:49:24
没看完
6 有用 开木 2020-07-15 08:32:21
7-14 四天读完,6星推荐,身为门外汉的我感到无比震撼。简单总结复杂科学的魅力-微观世界简单的行为规则在宏观世界是如何呈现出复杂多变的状态的?好在现在有计算机了,善于思考,人人都可以动手建模。 7-12 Mind blowing! 在Complexity Explorer上听Mitchell的课程知晓的这本书。用平实的语言对复杂(Feigenbaum Constant实在惊人),信息论,计算(... 7-14 四天读完,6星推荐,身为门外汉的我感到无比震撼。简单总结复杂科学的魅力-微观世界简单的行为规则在宏观世界是如何呈现出复杂多变的状态的?好在现在有计算机了,善于思考,人人都可以动手建模。 7-12 Mind blowing! 在Complexity Explorer上听Mitchell的课程知晓的这本书。用平实的语言对复杂(Feigenbaum Constant实在惊人),信息论,计算(哥德尔不完备性),图灵机(停机问题也是哥德尔不完备性的某种表现),进化,基因都做了科普,刚刚读到Genetic Alogrithms这一节,作为一个处在Deep Learning时代的人,阅读到GA算法也不禁献上膝盖。阅读此书真是乐趣无穷!!!(另,Mitchell原来是侯世达的弟子) (展开)
0 有用 Wain 2022-12-15 05:47:29 加拿大
终于在拖了两年之后读完了,恐怕还得再读一遍……