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1 Masuda, Naoki Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science I09711 2020 eBook  
2 Gross, Thilo Adaptive Networks I07883 2009 eBook  
3 Doursat, Ren?? Morphogenetic Engineering I06145 2012 eBook  
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TitleProceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science
Author(s)Masuda, Naoki;Goh, Kwang-Il;Jia, Tao;Yamanoi, Junichi;Sayama, Hiroki
PublicationCham, Springer International Publishing, 2020.
DescriptionX, 270 p. 81 illus., 70 illus. in color : online resource
Abstract NoteThis volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X is the Network Science Society???s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today???s cutting-edge research frontier of network science
ISBN,Price9783030389659
Keyword(s)1. COMPLEX SYSTEMS 2. Computational Mathematics and Numerical Analysis 3. Computational Social Sciences 4. Computer mathematics 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. Social sciences???Computer programs 9. Social sciences???Data processing 10. STATISTICAL PHYSICS 11. SYSTEM THEORY
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TitleAdaptive Networks : Theory, Models and Applications
Author(s)Gross, Thilo;Sayama, Hiroki
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2009.
DescriptionXIX, 332 p. 13 illus. in color : online resource
Abstract NoteWith adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled. Recent research has shown that such networks can exhibit a plethora of new phenomena which are ultimately required to describe many real-world networks. Some of those phenomena include robust self-organization towards dynamical criticality, formation of complex global topologies based on simple, local rules, and the spontaneous division of "labor" in which an initially homogenous population of network nodes self-organizes into functionally distinct classes. These are just a few. This book is a state-of-the-art survey of those unique networks. In it, leading researchers set out to define the future scope and direction of some of the most advanced developments in the vast field of complex network science and its applications
ISBN,Price9783642012846
Keyword(s)1. APPLICATION SOFTWARE 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. Information Systems Applications (incl. Internet) 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems 11. SYSTEM THEORY 12. Systems biology 13. Systems Theory, Control
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TitleMorphogenetic Engineering : Toward Programmable Complex Systems
Author(s)Doursat, Ren??;Sayama, Hiroki;Michel, Olivier
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionIX, 517 p. 325 illus., 221 illus. in color : online resource
Abstract NoteGenerally, spontaneous pattern formation phenomena are random and repetitive, whereas elaborate devices are the deterministic product of human design. Yet, biological organisms and collective insect constructions are exceptional examples of complex systems that are both self-organized and architectural. ?? This book is the first initiative of its kind toward establishing a new field of research, Morphogenetic Engineering, to explore the modeling and implementation of ???self-architecturing??? systems. Particular emphasis is placed on the programmability and computational abilities of self-organization, properties that are often underappreciated in complex systems science???while, conversely, the benefits of self-organization are often underappreciated in engineering methodologies. ?? Altogether, the aim of this work is to provide a framework for and examples of a larger class of ???self-architecturing??? systems, while addressing fundamental questions such as ?? > How do biological organisms carry out morphogenetic tasks so reliably? > Can we extrapolate their self-formation capabilities to engineered systems? > Can physical systems be endowed with information (or informational systems be embedded in physics) so as to create autonomous morphologies and functions? > What are the core principles and best practices for the design and engineering of such morphogenetic systems? The intended audience consists of researchers and graduate students who are working on, starting to work on, or interested in programmable self-organizing systems in a wide range of scientific fields, including computer science, robotics, bioengineering, control engineering, physics, theoretical biology, mathematics, and many others
ISBN,Price9783642339028
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. BIOPHYSICS 5. COMPLEX SYSTEMS 6. Computational Intelligence 7. DYNAMICAL SYSTEMS 8. EBOOK 9. EBOOK - SPRINGER 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. Systems biology
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