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Titlebook: Complexity and Diversity; Eiichi Ryoku Nakamura,Kiyoshi Kudo,Yoichi Tamagawa Conference proceedings 1997 Springer-Verlag Tokyo 1997 applie

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書(shū)目名稱Complexity and Diversity
編輯Eiichi Ryoku Nakamura,Kiyoshi Kudo,Yoichi Tamagawa
視頻videohttp://file.papertrans.cn/232/231663/231663.mp4
圖書(shū)封面Titlebook: Complexity and Diversity;  Eiichi Ryoku Nakamura,Kiyoshi Kudo,Yoichi Tamagawa Conference proceedings 1997 Springer-Verlag Tokyo 1997 applie
描述Nonlinear complex open systems show great diversity in the process of self-organization, and that diversity increases as complexity increases. The measurement of complexity and the origins of the diversity of such complex systems are the focus of interdisciplinary studies extending across a wide range of scientific disciplines that include applied mathematics, physics, chemistry, biology, psychology, ecology, sociology, and economics. Previous investigations have concentrated either on complexity or on diversity, but not both. This volume makes clear the relation between complexity and diversity with examples drawn from various disciplines. Compiles here are presentations from the Complexity and Diversity workshop held in Fugue, Japan, in August 1996. The contributions are the results of research in mathematical systems, physical systems, living systems, and social systems, and are contained in the four corresponding sections of the book. Mathematical expressions for the theory of complexity as a fundamental method along with realistic examples for application of systematic methods provide the reader with ready access to the latest topics in complex systems.
出版日期Conference proceedings 1997
關(guān)鍵詞applied mathematics; bifurcation; biology; chemistry; complex system; complex systems; complexity; distribu
版次1
doihttps://doi.org/10.1007/978-4-431-66862-6
isbn_softcover978-4-431-66864-0
isbn_ebook978-4-431-66862-6
copyrightSpringer-Verlag Tokyo 1997
The information of publication is updating

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Reflections on program optimization,ems. Synergetics aims at mathematical and computational models with nonlinear dynamics and well-defined order parameters. These methods are sometimes said to foreshadow the new sciences of complexity characterizing the scientific development of the 21st century [1].
板凳
發(fā)表于 2025-3-22 02:45:16 | 只看該作者
Refinement of Switching Windows,ce in the behavior of the transition between different levels in the ensemble is expected to be a general characteristic of hierarchical systems that consist of microscopic, mesoscopic and macroscopic levels.
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Dynamic Learning and Retrieving Scheme Based on Chaotic Neuron Modelts, which is difficult for the static Hopfield model of associative memory. Furthermore, modeling of dynamic retrieval mechanism is attempted for diverse switching phenomena on the chaotic neural network with grown (fixed) synapses.
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Complexity in a Molecular String: Hierarchical Structure as Is Exemplified in a DNA Chaince in the behavior of the transition between different levels in the ensemble is expected to be a general characteristic of hierarchical systems that consist of microscopic, mesoscopic and macroscopic levels.
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