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001 978-3-030-02589-2
003 DE-He213
005 20220801214148.0
007 cr nn 008mamaa
008 190213s2019 sz | s |||| 0|eng d
020 _a9783030025892
_9978-3-030-02589-2
024 7 _a10.1007/978-3-030-02589-2
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
072 7 _aTBJ
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aTBJ
_2thema
072 7 _aGPFC
_2thema
082 0 4 _a515.39
_223
100 1 _aTranquillo, Joe.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936684
245 1 3 _aAn Introduction to Complex Systems
_h[electronic resource] :
_bMaking Sense of a Changing World​ /
_cby Joe Tranquillo.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIV, 396 p. 121 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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 _aThis 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 _aDynamics.
_936685
650 0 _aNonlinear theories.
_93339
650 0 _aSystem theory.
_93409
650 0 _aMathematics.
_911584
650 0 _aBioinformatics.
_99561
650 0 _aArtificial intelligence.
_93407
650 1 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aComplex Systems.
_918136
650 2 4 _aApplications of Mathematics.
_931558
650 2 4 _aComputational and Systems Biology.
_931619
650 2 4 _aArtificial Intelligence.
_93407
710 2 _aSpringerLink (Online service)
_936686
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030025885
776 0 8 _iPrinted edition:
_z9783030025908
856 4 0 _uhttps://doi.org/10.1007/978-3-030-02589-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76026
_d76026