MARC状态：待编 文献类型：电子期刊 浏览次数：29
- 题名/责任者:
- An Introduction to Complex Systems Making Sense of a Changing World / by Joe Tranquillo.
- 版本说明:
- 1st ed. 2019.
- 出版发行项:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- ISBN:
- 9783030025892
- 其它标准号:
- 10.1007/978-3-030-02589-2
- 载体形态项:
- XIV, 396 p. 121 illus., 12 illus. in color. online resource.
- 主文献:
- Springer eBooks
- 其他载体形态:
- Printed edition: 9783030025885
- 其他载体形态:
- Printed edition: 9783030025908
- 个人责任者:
- Tranquillo, Joe. author.
- 附加团体名称:
- SpringerLink (Online service)
- 论题主题:
- Statistical physics.
- 论题主题:
- Dynamical systems.
- 论题主题:
- Applied mathematics.
- 论题主题:
- Engineering mathematics.
- 论题主题:
- Systems biology.
- 论题主题:
- Artificial intelligence.
- 论题主题:
- Complexity.
- 论题主题:
- Complex Systems.
- 论题主题:
- Systems Biology.
- 论题主题:
- Artificial Intelligence.
- 内容附注:
- Introduction -- Simple Rules - Complex Behavior -- Non-linear Systems -- Pattern Formation -- Networks -- Information Flow -- Thermodynamics of Complex Systems -- Game Theory -- Dynamics on Networks -- The Edge -- Criticisms and Future Work.
- 摘要附注:
- This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections. Studies the tools of complex system theory that include chaos and fractals, game theory, networks, agent-based models and information theory; Contains examples, some outside the traditional boundaries of science, to help build a more intuitive feeling for complex systems; Outlines principles that can be used to design the next generation of machines and automata.
全部MARC细节信息>>