UID:
almahu_9949372045702882
Format:
XVIII, 363 p. 158 illus., 113 illus. in color.
,
online resource.
Edition:
2nd ed. 2022.
ISBN:
9783031073618
Series Statement:
Springer Series in Synergetics,
Content:
The 2nd edition of this book provides novel topics and studyies in boundaries of networks and Big Data Systems.The central theme of this book is the extent to which the structure of the free dynamical boundaries of a system controls the evolution of the system as a whole. Applying three orthogonal types of thinking - mathematical, constructivist and morphological, it illustrates these concepts using applications to selected problems from the social and life sciences, as well as economics. In a broader context, it introduces and reviews some modern mathematical approaches to the science of complex systems. Standard modeling approaches (based on non-linear differential equations, dynamic systems, graph theory, cellular automata, stochastic processes, or information theory) are suitable for studying local problems. However they cannot simultaneously take into account all the different facets and phenomena of a complex system, and new approaches are required to solve the challenging problem of correlations between phenomena at different levels and hierarchies, their self-organization and memory-evolutive aspects, the growth of additional structures and are ultimately required to explain why and how such complex systems can display both robustness and flexibility. This graduate-level text addresses a broader interdisciplinary audience, keeping the mathematical level essentially uniform throughout the book, and involving only basic elements from calculus, algebra, geometry and systems theory.
Note:
Introduction -- Boundaries in Visual Perception and the Arts -- Boundaries in Social Systems -- Continuous Mathematics -- Discrete Mathematics -- The Boundary in the Philosophy of Science -- Networks and their Boundaries -- Big Data Systems -- Liquid Boundaries -- Conclusions.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031073601
Additional Edition:
Printed edition: ISBN 9783031073625
Additional Edition:
Printed edition: ISBN 9783031073632
Language:
English
DOI:
10.1007/978-3-031-07361-8
URL:
https://doi.org/10.1007/978-3-031-07361-8
URL:
Volltext
(URL des Erstveröffentlichers)
