Complex Systems 🔍
Bossomaier, Terry R. J. (editor);Green, David G. (editor) Cambridge University Press (Virtual Publishing), 2000 jul 06
英语 [en] · PDF · 8.6MB · 2000 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/zlib · Save
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.
备用文件名
lgli/_406486.039c3022fea05a12a35a78ec8f68a472.pdf
备用文件名
lgrsnf/_406486.039c3022fea05a12a35a78ec8f68a472.pdf
备用文件名
zlib/Biology and other natural sciences/Terry R. J. Bossomaier (editor), David G. Green (editor)/Complex Systems_1264237.pdf
备选作者
David G. Green; Terry R.J. Bossomaier; Terry R. J. Bossomaier
备选作者
Terry R. J. Bossomaier (editor), David G. Green (editor)
备选作者
edited by Terry R.J. Bossomaier and David G. Green
备选作者
Terry R. J. Bossomaier, Green, David G.
备选作者
THRRY R.J.BOSSOMAIER AND DAVID G.GREEN
备用出版商
Greenwich Medical Media Ltd
备用版本
Cambridge, New York, NY, USA, England, 2000
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
January 1, 2009
备用版本
1, PS, 2007
备用版本
1, 2000
备用版本
2010
元数据中的注释
lg826486
元数据中的注释
{"edition":"1","isbns":["051175874X","0521043719","0521462452","9780511758744","9780521043717","9780521462457"],"last_page":420,"publisher":"Cambridge University Press"}
元数据中的注释
Includes bibliographical references and index.
备用描述
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
Cover......Page 1
Frontmatter......Page 2
Contents......Page 6
1 - Introduction......Page 8
2 - Self-organisation in complex systems......Page 18
3 - Network evolution and the emergence of structure......Page 58
4 - Artificial life: growing complex systems......Page 98
5 - Deterministic and random fractals......Page 134
6 - Non-linear dynamics......Page 174
7 - Non-linear control systems......Page 256
8 - Parallel computers and complex systems......Page 296
9 - Are ecosystems complex systems?......Page 346
10 - Complexity and neural networks......Page 374
Index......Page 414
开源日期
2012-03-17
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