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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.
Scientific Modeling and Simulations Автор: Yip S., de la Rubia T.D. (eds.) Год: 2009 |
Physiologically Based Pharmacokinetic Modeling Автор: Micaela Reddy Год: 2005 |
Bayesian Item Response Modeling: Theory and Applications Автор: Fox, Jean-Paul Год: 2010 |
Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches Автор: Wu H., Zhang J.-T. Год: 2006 |
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational (Monographs on Mathematical Modeling and Computation) Автор: Gerda de Vries, Thomas Hillen, Mark Lewis, Johannes Muller, Birgitt Schonfisch Год: 2006 |
Modeling and Design Techniques for RF Power Amplifiers Автор: Arvind Raghavan Год: 2008 |