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Complex Systems: Chaos and Beyond : A Constructive Approach With Applications in Life Sciences


Author(s): Kaneko, Kunihiko; Tsuda, Ichiro
ISBN10:  3540672028
ISBN13:  9783540672029
Format:  Hardcover
Pub. Date:  12/1/2000
Publisher(s): Springer Verlag

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SummaryTable of Contents
Proposes a constructive approach and dynamic many-to-many relationship for a study of complex systems in many areas of science, based on a background of physics and nonlinear dynamics. Illustrates this approach with examples from physics, biology, and information technology.
Necessity for a Science of Complex Sytems
1(32)
Introduction
1(3)
Chaos
4(4)
Chaos and Complexity
8(3)
How Has Chaos Changed Our Way of Thinking?
11(2)
Dialectic Method to Overcome the Antithesis Between Determinism and Nondeterminism or Between Programs and Errors
11(1)
Dialectic Method to Overcome the Antithesis Between Order and Randomness
12(1)
Beyond the Antithesis Between Reductionism and Holism
12(1)
Dynamic Many-to-Many Relations and Bio-networks
13(8)
The Necessity of Dynamic Many-to-Many Relations
13(2)
Metabolic Systems, Differentiation, and Development
15(1)
Ecosystems
16(1)
Immune Systems
17(1)
The Brain
18(1)
Rugged Landscapes and Their Problems
18(2)
Conclusion
20(1)
The Construction of an Artificial (Virtual) World
21(3)
A Trigger to Emergence
24(2)
Beyond Top-Down Versus Bottom-Up
26(2)
Methodology of Study of Complex Systems
28(5)
Constructive Way of Understanding
29(1)
Plural Views
30(1)
Mathematical Anatomy
31(1)
The Problem of Internal Observers
31(2)
Observation Problems from an Information-Theoretical Viewpoint
33(24)
Observation Problems of Chaos
33(4)
Undecidability and Entire Description
37(1)
A Demon in Chaos
38(1)
Chaos in the BZ Reaction
39(4)
Noise-Induced Order
43(4)
Could Structural Stability Lead to an Adequate Notion of a Model?
47(3)
Information Theory of Chaos
50(7)
CMLs: Constructive Approach to Spatiotemporal Chaos
57(50)
From a Descriptive to a Constructive Approach of Nature
57(2)
Coupled Map Lattice Approach to Spatiotemporal Chaos
59(6)
Spatiotemporal Chaos
59(2)
Introduction to Coupled Map Lattices
61(3)
Comparison with Other Approaches
64(1)
Phenomenology of Spatiotemporal Chaos in the Diffusively Coupled Logistic Lattice
65(18)
Introduction
65(1)
Frozen Random Patterns and Spatial Bifurcations
66(3)
Pattern Selection with Suppression of Chaos
69(1)
Brownian Motion of Chaotic Defects and Defect Turbulence
70(1)
Spatiotemporal Intermittency (STI)
71(4)
Stability of Fully Developed Spatiotemporal Chaos (FDSTC) Sustained by the Supertransients
75(2)
Traveling Waves
77(4)
Supertransients
81(2)
CML Phenomenology as a Problem of Complex Systems
83(1)
Phenonemology in Open-Flow Lattices
84(10)
Introduction
84(1)
Spatial Bifurcation to Down-Flow
85(1)
Convective Instability and Spatial Amplification of Fluctuations
86(3)
Phase Diagram
89(2)
Spatial Chaos
91(2)
Selective Amplification of Input
93(1)
Universality
94(3)
Theory for Spatiotemporal Chaos
97(3)
Applications of Coupled Map Lattices
100(7)
Pattern Formation (Spinodal Decompostion)
100(1)
Crystal Growth and Boiling
101(1)
Convection
101(2)
Spiral and Traveling Waves in Excitable Media
103(1)
Cloud Dynamics and Geophysics
104(1)
Ecological Systems
104(1)
Evolution
104(1)
Closing Remarks
105(2)
Networks of Chaotic Elements
107(56)
GCM Model
107(4)
Clustering
111(4)
Phase Transitions Between Clustering States
115(2)
Ordered Phase and Cluster Bifurcation
117(5)
Hierarchical Clustering and Chaotic Itinerancy
122(13)
Partition Complexity
122(3)
Hierarchical Clustering
125(3)
Hierarchical Dynamics
128(4)
Chaotic Itinerancy
132(3)
Marginal Stability and Information Cascade
135(8)
Marginal Stability
135(4)
Information Cascade
139(4)
Collective Dynamics
143(14)
Remnant Mean-Field Fluctuation
143(3)
Hidden Coherence
146(4)
Instability of the Fixed Point of the Perron--Frobenius Operator
150(3)
Destruction of Hidden Coherence by Noise and Anomalous Fluctuations
153(2)
Heterogeneous Systems
155(1)
Significance of Collective Dynamics
156(1)
Universality and Nonuniversality
157(6)
Universality of Clustering and Other Transitions
157(2)
Globally Coupled Tent Map: Novelty Within Universality
159(4)
Significance of Coupled Chaotic Systems to Biological Networks
163(28)
Relevance of Coupled Maps to Biological Information Processing
163(1)
Application of Coupled Maps to Information Processing
164(7)
Memory to Attractor Mapping and the Switching Process
164(4)
Chaotic Itinerancy and Spontaneous Recall
168(2)
Optimization and Search by Spatiotemporal Chaos as Spatiotemporally Structured Noise
170(1)
Local--Global Transformation by Traveling Waves -- Information Creation and Transmission by Chaotic Traveling Waves
170(1)
Selective Amplification of Input Signals by the Unidirectionally Coupled Map Lattice
170(1)
Information Dynamics of a CML with One-Way Coupling
171(4)
Design of Coupled Maps and Plastic Dynamics
175(3)
Construction of Dynamic Many-to-Many Logic and Information Processing
178(1)
Implications to Biological Networks
179(12)
Prototype of Hierarchical Structures
180(1)
Prototype of Diversity and Differentiation
180(4)
Formation and Collapse of Relationships
184(1)
Clustering in Hypercubic Coupled Maps; Self-organizing Genetic Algorithms
184(2)
Homeochaos
186(3)
Summing Up
189(2)
Chaotic Information Processing in the Brain
191(46)
Hermeneutics of the Brain
191(3)
A Brief Comment on Hermeneutics (the Inside and the Outside)
194(1)
A Method for Understanding the Brain and Mind - Internal Description
195(1)
Evidence of Chaos in Nervous Systems
196(2)
The Origin of Neurochaos
198(5)
The Implications of Stochastic Renewal of Maps
203(2)
Chaotic Game
203(1)
Skew-Product Transformations
204(1)
A Model for Dynamic Memory
205(1)
A Model for Dynamically Linking Memories
206(6)
Significance of Neurochaos
212(2)
Temporal Coding
214(5)
Capillary Chaos as a Complex Dynamics
219(18)
Significance of Capillary Pulsation in the Brain Functions
219(1)
Embedding Theorems
220(1)
Experimental Systems
221(1)
Reconstruction of the Dynamics
222(2)
Calculations of Lyapunov Exponents
224(2)
The Condition Dependence
226(4)
Cardiac Chaos
230(1)
Information Structure
231(4)
Implications of Capillary Chaos
235(2)
Conversations with Authors
237(14)
Concluding Discussions
237(2)
Questions and Answers
239(12)
The Significance of Models in Complex Systems Research
239(4)
Chaotic Itinerancy
243(3)
New Information Theory and Internal Observation
246(5)
References 251(16)
Index 267

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