Dynamics of Information Systems: Algorithmic Approaches
Editors: Sorokin, Alexey, Pardalos, Panos M. (Eds.)
Free Preview- Includes contributions from researchers and practitioners from fields such as Information Science, Operations Research, Computer Science and Electrical Engineering
- Presents topics from theoretical, algorithmic and practical points of view, providing the readers with information, theories, and techniques
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- About this book
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Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems.Dynamics of Information plays an increasingly critical role in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. Applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety.
The book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. It covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from GPS data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. Network issues—in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning—are described in later chapters.
- Table of contents (12 chapters)
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Numerical Computations with Infinite and Infinitesimal Numbers: Theory and Applications
Pages 1-66
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Dynamic Composition and Analysis of Modern Service-Oriented Information Systems
Pages 67-98
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Estimating Customer Service Times on a Rail Network from GPS Data
Pages 99-120
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A Risk-Averse Game-Theoretic Approach to Distributed Control
Pages 121-145
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Static Teams and Stochastic Games
Pages 147-175
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Table of contents (12 chapters)
- Download Preface 1 PDF (36.6 KB)
- Download Sample pages 1 PDF (1.2 MB)
- Download Table of contents PDF (40.8 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Dynamics of Information Systems: Algorithmic Approaches
- Editors
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- Alexey Sorokin
- Panos M. Pardalos
- Series Title
- Springer Proceedings in Mathematics & Statistics
- Series Volume
- 51
- Copyright
- 2013
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-7582-8
- DOI
- 10.1007/978-1-4614-7582-8
- Hardcover ISBN
- 978-1-4614-7581-1
- Softcover ISBN
- 978-1-4899-8940-6
- Series ISSN
- 2194-1009
- Edition Number
- 1
- Number of Pages
- VIII, 344
- Topics
