國立虎尾科技大學 |

An Introduction to Complex Systems = Making Sense of a Changing World /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An Introduction to Complex Systems/ by Joe Tranquillo.
其他題名:	Making Sense of a Changing World /
作者:	Tranquillo, Joe.
面頁冊數:	XIV, 396 p. 121 illus., 12 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational complexity. -
電子資源:	https://doi.org/10.1007/978-3-030-02589-2
ISBN:	9783030025892

An Introduction to Complex Systems = Making Sense of a Changing World /
Tranquillo, Joe.

An Introduction to Complex SystemsMaking Sense of a Changing World /[electronic resource] :by Joe Tranquillo. - 1st ed. 2019. - XIV, 396 p. 121 illus., 12 illus. in color.online resource.

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.

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.

ISBN: 9783030025892

Standard No.: 10.1007/978-3-030-02589-2doiSubjects--Topical Terms:

527777
Computational complexity.

LC Class. No.: QA267.7

Dewey Class. No.: 620

An Introduction to Complex Systems = Making Sense of a Changing World /
LDR:02882nam a22003855i 4500 001 1008145
003 DE-He213
005 20200702224329.0
007 cr nn 008mamaa
008 210106s2019 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
035 $a 978-3-030-02589-2
050 4 $a QA267.7
072 7 $a GPFC $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a GPFC $2 thema
082 0 4 $a 620 $2 23
100 1 $a Tranquillo, Joe. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1301938
245 1 3 $a An Introduction to Complex Systems $h [electronic resource] : $b Making Sense of a Changing World / $c by Joe Tranquillo.
250 $a 1st ed. 2019.
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. $3 527777
650 0 $a Statistical physics. $3 528048
650 0 $a Dynamical systems. $3 1249739
650 0 $a Applied mathematics. $3 1069907
650 0 $a Engineering mathematics. $3 562757
650 0 $a Systems biology. $3 600045
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Complexity. $3 669595
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Applications of Mathematics. $3 669175
650 2 4 $a Systems Biology. $3 683756
650 2 4 $a Artificial Intelligence. $3 646849
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030025885
776 0 8 $i Printed edition: $z 9783030025908
856 4 0 $u https://doi.org/10.1007/978-3-030-02589-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)