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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 |
|---|---|
| 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 |
MARC
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| 100 | 1 | |a Do, Anne-Ly Jabusch, |e author. | |
| 245 | 1 | 0 | |a Self-organization in continuous adaptive networks / |c Anne-Ly Jabusch Do and Thilo Gross. |
| 264 | 1 | |a Aalborg, Denmark : |b River Publishers, |c 2012. | |
| 264 | 4 | |c ©2012 | |
| 300 | |a 1 online resource (111 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 0 | |a River Publishers Series in Information Science and Technology | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed April 7, 2014). | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 520 | |a 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. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Adaptive computing systems. | |
| 650 | 6 | |a Systèmes adaptatifs (Informatique) | |
| 650 | 7 | |a Adaptive computing systems |2 fast | |
| 700 | 1 | |a Gross, Thilo, |e author. | |
| 758 | |i has work: |a Self-organization in continuous adaptive networks (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGrFfvh4yG7q8C99xXv9Mq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Do, Anne-Ly Jabusch. |t Self-organization in continuous adaptive networks. |d Aalborg, Denmark : River Publishers, ©2012 |h xv, 93 pages |k River Publishers Series in Information Science and Technology. |z 9788792329455 |
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