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Complex Systems 🔍
edited by Terry R.J. Bossomaier and David G. Green Cambridge ; New York, NY, USA: Cambridge University Press, Cambridge, New York, NY, USA, England, 2000
英语 [en] · PDF · 23.0MB · 2000 · 📗 未知类型的图书 · 🚀/ia · Save
描述
This book explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear dynamics, artificial life, and self organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems, and ecosystems. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.
备选作者
Bossomaier, Terry R. J. (Terry Richard John); Green, David G. (David Geoffrey), 1949-
备选作者
Terry R. J. Bossomaier; David G. Green
备用出版商
Cambridge University Press (Virtual Publishing)
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
1, 2000
元数据中的注释
Includes bibliographical references and index.
备用描述
This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing
备用描述
"This book explores the field of complexity. It features in-depth coverage of important theoretical ideas, including fractals, chaos, non-linear dynamics, artificial life and self-organisation. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterise complex systems, including algorithmic richness, non-linearity and abundant interactions between components, are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct
备用描述
v, 413 pages : 24 cm
Includes bibliographical references and index
开源日期
2024-07-01
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