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Titlebook: Dynamics of Information Systems; Theory and Applicati Michael J. Hirsch,Panos M. Pardalos,Robert Murphey Book 2010 Springer Science+Busines

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發(fā)表于 2025-3-21 16:43:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Dynamics of Information Systems
副標題Theory and Applicati
編輯Michael J. Hirsch,Panos M. Pardalos,Robert Murphey
視頻videohttp://file.papertrans.cn/285/284100/284100.mp4
概述Includes supplementary material:
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Dynamics of Information Systems; Theory and Applicati Michael J. Hirsch,Panos M. Pardalos,Robert Murphey Book 2010 Springer Science+Busines
描述.Our understanding of information and information dynamics has outgrown classical information theory. The theory does not account for the value or influence of information within the context of a system or network and does not explain how these properties might influence how information flows though and interacts with a system. The invited chapters in this collection present new theories, methods, and applications that address some of these limitations...Dynamics of Information Systems. presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research...These newly developed techniques have numerous applications including: the detection of terrorist networks, the design of highly functioning businesses and computer systems, modeling the distributed sensory and control physiology of animals, quantum entanglement and genome modeling, multi-robotic systems design, as well as industrial and manufacturing safety
出版日期Book 2010
關(guān)鍵詞Communication Networks; Dynamical Systems; Optimization; Switching; information; information theory; syste
版次1
doihttps://doi.org/10.1007/978-1-4419-5689-7
isbn_softcover978-1-4614-2580-9
isbn_ebook978-1-4419-5689-7Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Science+Business Media, LLC 2010
The information of publication is updating

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發(fā)表于 2025-3-21 22:15:38 | 只看該作者
Identity in Question and the Place of Workmically updating these modules. Moreover, we also provide a network compact representation which significantly reduces the size of the network, thereby minimizing the running time of any existing algorithm on the modules identification.
板凳
發(fā)表于 2025-3-22 03:42:41 | 只看該作者
Engaging in Health and Well-Beinglobal knowledge and a dynamic environment, the UGV uses its sensors to map the locally detected changes in the environment and continuously updates its global map. At each information update, the optimal control is recomputed and implemented. Simulation results illustrate the performance of the planner under varying levels of information.
地板
發(fā)表于 2025-3-22 05:34:54 | 只看該作者
Information Trajectory of Optimal Learning,he classical information value theory and statistical mechanics. In addition, theoretical predictions are evaluated experimentally by comparing performance of agents learning in a nonstationary stochastic environment.
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,An Info-Centric Trajectory Planner for?Unmanned Ground Vehicles,lobal knowledge and a dynamic environment, the UGV uses its sensors to map the locally detected changes in the environment and continuously updates its global map. At each information update, the optimal control is recomputed and implemented. Simulation results illustrate the performance of the planner under varying levels of information.
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發(fā)表于 2025-3-22 19:59:09 | 只看該作者
Book 2010luence of information within the context of a system or network and does not explain how these properties might influence how information flows though and interacts with a system. The invited chapters in this collection present new theories, methods, and applications that address some of these limit
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發(fā)表于 2025-3-22 21:15:21 | 只看該作者
Engaging in Health and Well-Beingdividuals need multiple pieces of data to reach a conclusion, and the underlying situation is dynamic, so individuals need new information over time. Results show that random information passing is broadly effective, although relative performance is lower in some situations.
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