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Physics of Self-Organization and Evolution.
This thoroughly updated version of the German authoritative work on self-organization has been completely rewritten by internationally renowned experts and experienced book authors to also include a review of more recent literature. It retains the original enthusiasm and fascination surrounding ther...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Weinheim :
John Wiley & Sons,
2011.
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| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright; Preface; Chapter 1: Introduction to the Field of Self-Organization; 1.1 Basic Concepts; 1.2 History of Evolution as a Short Story; 1.3 Structure, Self-organization, and Complexity; 1.4 Entropy, Equilibrium, and Nonequilibrium; 1.5 Dynamics, Stability, and Instability; 1.6 Self-Organization of Information and Values; Chapter 2: Fundamental Laws of Equilibrium and Nonequilibrium Thermodynamics; 2.1 The Thermodynamic Way of Describing Nature
- Basic Variables; 2.2 Three Fundamental Laws and the Gibbs Relation of Thermodynamics.
- 2.3 Thermodynamic Potentials, Inequalities, and Variational Principles2.4 Irreversible Processes and Self-Organization; 2.5 Irreversible Radiation Transport; 2.6 Irreversible Processes and Fluctuations; 2.7 Toward a Thermodynamics of Small Systems Far from Equilibrium; Chapter 3: Evolution of Earth and the Terrestrial Climate; 3.1 The Photon Mill; 3.2 Black-Body Radiation Model of Earth; 3.3 Local Seasonal Response; 3.4 Atmospheric Cooling Rate; 3.5 Black-Body Model with Atmosphere; 3.6 Humidity and Latent Heat; 3.7 Greenhouse Effect; 3.8 Spatial Structure of the Planet.
- 3.9 Early Evolution of EarthChapter 4: Nonlinear Dynamics, Instabilities, and Fluctuations; 4.1 State Space, Dynamic Systems, and Graphs; 4.2 Deterministic Dynamic Systems; 4.3 Stochastic Models for Continuous Variables and Predictability; 4.4 Graphs
- Mathematical Models of Structures and Networks; 4.5 Stochastic Models for Discrete Variables; 4.6 Stochastic Processes on Networks; Chapter 5: Self-Reproduction, Multistability, and Information Transfer as Basic Mechanisms of Evolution; 5.1 The Role of Self-Reproduction and Multistability.
- 5.2 Deterministic Models of Self-Reproduction and Bistability5.3 Stochastic Theory of Birth-and-Death Processes; 5.4 Stochastic Analysis of the Survival of the New; 5.5 Survival of the New in Bistable Systems; 5.6 Multistability, Information Storage, and Information Transfer; Chapter 6: Competition and Selection Processes; 6.1 Discussion of Basic Terms; 6.2 Extremum Principles; 6.3 Dynamical Models with Simple Competition; 6.4 Stochastic of Simple Competition Processes; 6.5 Competition in Species Networks; 6.6 Selection and Coexistence; 6.7 Hyperselection; 6.8 Selection in Ecological Systems.
- 6.9 Selection with Sexual Replication6.10 Selection between Microreactors; 6.11 Selection in Social Systems; Chapter 7: Models of Evolution Processes; 7.1 Sequence-Evolution Models; 7.2 Evolution on Fitness Landscapes; 7.3 Evolution on Smooth Fisher-Eigen Landscapes; 7.4 Evolution on Random Fisher-Eigen Landscapes; 7.5 Evolution on Lotka-Volterra Landscapes; 7.6 Axiomatic Evolution Models; 7.7 Boolean Behavior in the Positive Cone; 7.8 Axiomatic Description of a Boolean Reaction System; 7.9 Reducible, Linear, and Ideal Boolean Reaction Systems.