机读格式显示(MARC)
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- 008 190213s2019 gw | s |||| 0|eng d
- 020 __ |a 9783030025892 |9 978-3-030-02589-2
- 024 7_ |a 10.1007/978-3-030-02589-2 |2 doi
- 072 _7 |a TEC009000 |2 bisacsh
- 100 1_ |a Tranquillo, Joe. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut
- 245 13 |a An Introduction to Complex Systems |h [electronic resource] : |b Making Sense of a Changing World / |c by Joe Tranquillo.
- 264 _1 |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2019.
- 300 __ |a XIV, 396 p. 121 illus., 12 illus. in color. |b online resource.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a computer |b c |2 rdamedia
- 338 __ |a online resource |b cr |2 rdacarrier
- 347 __ |a text file |b PDF |2 rda
- 505 0_ |a 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.
- 520 __ |a 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.
- 650 _0 |a Computational complexity.
- 650 _0 |a Statistical physics.
- 650 _0 |a Dynamical systems.
- 650 _0 |a Applied mathematics.
- 650 _0 |a Engineering mathematics.
- 650 _0 |a Systems biology.
- 650 _0 |a Artificial intelligence.
- 650 14 |a Complexity. |0 http://scigraph.springernature.com/things/product-market-codes/T11022
- 650 24 |a Complex Systems. |0 http://scigraph.springernature.com/things/product-market-codes/P33000
- 650 24 |a Applications of Mathematics. |0 http://scigraph.springernature.com/things/product-market-codes/M13003
- 650 24 |a Systems Biology. |0 http://scigraph.springernature.com/things/product-market-codes/L15010
- 650 24 |a Artificial Intelligence. |0 http://scigraph.springernature.com/things/product-market-codes/I21000
- 710 2_ |a SpringerLink (Online service)
- 773 0_ |t Springer eBooks
- 776 08 |i Printed edition: |z 9783030025885
- 776 08 |i Printed edition: |z 9783030025908
- 856 40 |u https://doi.org/10.1007/978-3-030-02589-2
- 950 __ |a Engineering (Springer-11647)