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
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.
不同的学科对于同样的事物往往展现了不同的分析角度和思考深度。比如在经济学教科书中往往会有这样的例子,在一个人口众多的城市中,从来没有一个负责统筹调度食物的中央机构,但是市民的餐饮问题还是自然而然地解决了,经济学把这一现象的原因解释为市场的力量,每一个自利的...
评分之前被经济学理论骗了几年,然后又被哲学的后现代主义骗了几年,接下来是演化心理学和演化生物学,于是为了谨防自己再次受骗,学习复杂性理论过程中,时刻提醒自己:谨防再次上当。 有些人看了个《三体》就觉得“三体问题”是解决所有问题的钥匙(其实不过是复杂性系统的一支)...
评分之前被经济学理论骗了几年,然后又被哲学的后现代主义骗了几年,接下来是演化心理学和演化生物学,于是为了谨防自己再次受骗,学习复杂性理论过程中,时刻提醒自己:谨防再次上当。 有些人看了个《三体》就觉得“三体问题”是解决所有问题的钥匙(其实不过是复杂性系统的一支)...
评分2019.1.5 由于作者是计算机科学的专业人士,本书偏重于计算机方面的知识,而且相当细节和广泛。对一般读者仅仅需要了解大概即可。 单个体很简单,群体可以很复杂,系统的复杂性可以从众多例子看到,如行军蚁,免疫系统等等。 亚里士多德,伽利略,牛顿的动力学延伸发展出庞加莱...
评分WoW~
评分WoW~
评分虽然不算a novel scientific worldview,全面细致的内容让人view things from a higher level.
评分很赞的一本书,绝对开拓眼界
评分比GEB差远了,大家自己简简单单能明白的东西讲懂了,大家自己搞不明白的东西却讲不懂。最后一章总结还不如不写…读完了让人感觉复杂性科学完完全全就是随便造了几个名词的伪科学
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