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Preface |
6 |
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Contents |
9 |
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1 How Should Living Systems Be Studied? |
15 |
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1.1 What Is Life? |
15 |
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1.2 A Half Century of Molecular Biology |
17 |
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1.3 The Reemergence of Diversity and the Enumerative “-ome” Doctrine |
21 |
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1.4 Diversity and Dependence on Environmental Circumstances |
24 |
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1.5 Systems of Strongly Interacting Elements |
27 |
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1.6 Are Living Organisms "Computing Machines”? |
29 |
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1.7 Problems with the "Program” Point of View |
32 |
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1.8 The Problem of Stability |
34 |
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1.9 Systems Evolving Amongst Fluctuations |
36 |
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1.10 Spontaneity |
38 |
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1.11 How the Parts Composing the Whole Are Determined by the Whole |
41 |
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1.12 Universal Properties That Cannot Be Traced Back to Molecules |
42 |
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1.13 Transcending Enumeration |
45 |
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2 Constructive Biology |
51 |
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2.1 The Understanding Obtained Through Construction |
51 |
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2.2 The "Way” of Construction |
53 |
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2.3 Examples of Studies in Constructive Biology |
54 |
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2.4 On the Mode of Understanding |
58 |
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3 Basic Concepts in Dynamical Systems and Statistical Physics for Biological System |
61 |
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3.1 Basic Picture in Dynamical Systems |
61 |
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3.2 The Role of Fluctuations |
71 |
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3.3 Plasticity |
77 |
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3.4 Representation of "Softness” |
80 |
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3.5 Coupled Dynamical Systems for the Study of Cell System |
85 |
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3.6 Chaotic Itinerancy |
88 |
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4 Origin of Bioinformation |
94 |
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4.1 Question to Be Addressed |
94 |
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4.2 Logic: Minority Control Hypothesis |
102 |
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4.3 Toy Model |
104 |
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4.4 Result |
107 |
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4.5 Minority-Controlled State |
110 |
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4.6 Experiment |
113 |
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4.7 Relevance to Biology |
118 |
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5 Origin of a Cell with Recursive Growth |
123 |
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5.1 Question to Be Addressed |
123 |
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5.2 Logic |
124 |
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5.3 Model |
126 |
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5.4 Result |
130 |
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5.5 Experiment |
139 |
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5.6 Relevance to Biology |
144 |
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6 Universal Statistics of a Cell with Recursive Growth |
146 |
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6.1 Question to Be Addressed |
146 |
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6.2 Logic |
148 |
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6.3 Model |
150 |
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6.4 Result |
151 |
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6.5 Experiment |
159 |
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6.6 Relevance to Biology |
163 |
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7 Cell Differentiation and Development |
169 |
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7.1 Question to Be Addressed: Stability of Development |
169 |
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7.2 Logic: Isologous Diversiffcation |
177 |
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7.3 Model |
180 |
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7.4 Results |
184 |
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7.5 Further Results on Robustness and Dynamics of Differentiation |
190 |
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7.6 Experiment |
194 |
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7.7 Relevance to Biology |
197 |
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7.8 Appendix: An Example of Model Equation |
200 |
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8 Irreversible Differentiation from Stem Cell and Robust Development |
203 |
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8.1 Question to Be Addressed: Regulation for Differentiation of Stem Cell |
203 |
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8.2 Logic: Chaotic Stem Cell |
208 |
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8.3 Model |
211 |
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8.4 Results |
212 |
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8.5 Experiment |
228 |
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8.6 Relevance to Biology |
232 |
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9 Pattern Formation and Origin of Positional Information |
236 |
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9.1 Question to Be Addressed: Origin of Positional Information |
236 |
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9.2 Logic |
241 |
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9.3 Model |
241 |
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9.4 Results |
242 |
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9.5 Experiment |
250 |
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9.6 Relevance to Biology |
252 |
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9.7 Appendix: Model for Recursive Growth of Multicellular Organism |
260 |
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10 Genetic Evolution with Phenotypic Fluctuations |
264 |
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10.1 Question to Be Addressed |
264 |
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10.2 Logic |
267 |
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10.3 Model and Result of the Simulation |
272 |
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10.4 Experiment |
275 |
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10.5 Relevance to Biology |
280 |
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11 Speciation as a Fixation of Phenotypic Differentiation |
289 |
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11.1 Question to Be Addressed |
289 |
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11.2 Logic: Interaction-Based Speciation |
294 |
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11.3 Model |
296 |
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11.4 Result |
298 |
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11.5 Further Remarks on the Differentiation Scenario |
302 |
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11.6 Constructive Experiment |
312 |
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11.7 Relevance to Biology |
316 |
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12 Conclusion |
323 |
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12.1 Summary |
323 |
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12.2 Machine Versus Life Revisited |
330 |
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12.3 Fluctuations, Response, and Stability |
332 |
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12.4 The "Law” of Decreasing Plasticity in a Closed System |
339 |
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12.5 The Restoration of Plasticity in an "Open” System |
340 |
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12.6 A Theoretical Approach to Plasticity Dynamics |
344 |
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12.7 Developmental Phenomenology: Stability, Irreversibility, Operations, Equation of State |
349 |
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12.8 Toward an Understanding of the Dynamics of Cognition and Human Society |
353 |
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References |
356 |
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Index |
372 |
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More eBooks at www.ciando.com |
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