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Self-organization in continuous adaptive networks /
This volume presents new analytical approaches, which combine tools from dynamical systems theory and statistical physics with tools from graph theory to address the principles behind adaptive self-organization. It is the first class of approaches that is applicable to continuous networks.
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Aalborg, Denmark :
River Publishers,
2012.
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| Colección: | River Publishers Series in Information Science and Technology
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Contents; Introduction; Acknowledgements; List of abbreviations; 1 Concepts and tools; 1.1 Dynamical systems; 1.2 Phases and phase transitions; 1.3 Graphs; 1.4 Summary; 2 Topological stability criteria for synchronized states; 2.1 Stability in networks of phase-oscillators; 2.2 Graphical notation; 2.3 Topological stability conditions; 2.4 Other applications; 2.5 AdaptiveKuramotomodel; 2.6 Discussion; 3 Patterns of cooperation; 3.1 The model; 3.2 Numerical investigation; 3.3 Coordination of investments; 3.4 Stability conditions; 3.5 Distinguished topological positions.
- 3.6 Formation of large components3.7 Unreciprocated collaborative investments; 3.8 Extension of the model; 3.9 Discussion; 4 Self-organized criticality; 4.1 SOCmodels of the first generation; 4.2 SOCinadaptive networkmodels; 4.3 Four examples for adaptive SOC; 4.4 Engineering adaptive SOC; 4.5 Engineering SOCinamodel system; 4.6 Discussion; 5 Conclusions and future research; Bibliography; Index; About the authors.