Complexity explained
著者
書誌事項
Complexity explained
(Springer complexity)
Springer, c2008
大学図書館所蔵 全10件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
内容説明・目次
内容説明
This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. It illuminates how complex collective behavior emerges from the parts of a system, due to the interaction between the system and its environment. Readers will learn the basic concepts and methods of complex system research. The book is not highly technical mathematically, but teaches and uses the basic mathematical notions of dynamical system theory, making the book useful for students of science majors and graduate courses.
目次
1 COMPLEX SYSTEMS: THE INTELLECTUAL LANDSCAPE
1.1 The century of complexity?
1.2 Characteristics of simple and complex systems
1.2.1 System and its environment
1.2.2 Simple systems
1.2.3 Complex systems
1.3 Connecting the dots
2 HISTORY of COMPLEX SYSTEMS RESEARCH
2.1 Reductionist success stories versus the importance of
organization principles
2.1.1 Reductionism and holism in quantum physics
2.1.2 Reductionism and complexity in molecular biology
2.2 Ancestors of present day complex system research
2.2.1 Systems theory
2.2.2 Cybernetics
2.2.3 Nonlinear science in action: Theory of dissipative
structures, synergetics and catastrophe theory
3 FROM THE CLOCKWORK WORLD VIEW to IRREVERSIBILITY (and BACK?)
3.1 Cyclic universe versus linear time concept: the metaphysical
perspective
3.1.1 Cyclic Universe
3.1.2 Linear time concepts
3.2 The Newtonian Clockwork Universe
3.2.1 The mechanical clock
3.2.2 Kepler's integral laws
3.2.3 Newton's differential laws, Hamilton equations,
conservative oscillation, dissipation
3.3 Mechanics versus Thermodynamics
3.3.1 Heat conduction and irreversibility
3.3.2 Steam engine, feedback control, irreversibility
3.3.3 The first and second laws of thermodynamics
3.4 The birth of the modern theory of dynamical systems
3.5 Oscillations
3.5.1 The Lotka -Volterra Model
3.5.2 Stable oscillation: limit cycles
3.5.3 Quasiperiodic motions: A few words about the modern
theory of dynamical systems
3.6 The chaos paradigm: then and now
3.6.1 Defining and detecting chaos
3.6.2 Structural and geometrical conditions of chaos: what
is important and what is not?
3.6.3 The necessity of being chaotic
3.6.4 Controlling chaos: why and how?
3.6.5 Traveling to High-dimension land: Chaotic itinerancy
3.7 Direction of evolution
3.7.1 Dollo's law in retrospective
3.7.2 Is something never-decreasing during evolution?
3.8 Cyclic universe: revisited. . . and criticized
4 THE DYNAMIC WORLD VIEW in ACTION
4.1 Causality, teleology and about the scope and limits of the
dynamical paradigm
4.1.1 Causal versus teleological description
4.1.2 Causality, networks, emergent novelty
4.2 Chemical kinetics: a prototype of nonlinear science
4.2.1 On the structure - dynamics relationship for chemical
reactions
4.2.2 Chemical kinetics as a metalanguage
4.2.3 Spatiotemporal patterns in chemistry and biology
4.3 Systems biology: the half admitted renaissance of cybernetics
and systems theory
4.3.1 Life itself
4.3.2 Cells as self-referential systems
4.3.3 The old-new systems biology
4.3.4 Random Boolean networks: model framework and
applications for genetic networks
4.4 Population dynamic and epidemic models: biological and social
4.4.1 Connectivity, stability, diversity
4.4.2 The epidemic propagation of infections and ideas
4.4.3 Modeling social epidemics
4.5 Evolutionary dynamics
4.6 Dynamic models of war and love
4.6.1 Lanchaster's combat model and its variations
4.6.2 Is love different from war?
4.7 Social dynamics: some examples
4.7.1 Segregation dynamics
4.7.2 Opinion dynamics
4.8 Nonlinear dynamics in economics: some examples
4.8.1 Business cycles
4.8.2 Controlling chaos in economic models
4.9 Drug market: controlling chaos
5 THE SEARCH FOR LAWS: DEDUCTIVE VERSUS
INDUCTIVE
5.
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