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Dynamics of Information Systems: Algorithmic Approaches (Hardcover, 2013 ed.)
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Dynamics of Information Systems: Algorithmic Approaches (Hardcover, 2013 ed.)
Series: Springer Proceedings in Mathematics & Statistics, 51
Expected to ship within 12 - 17 working days
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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.
General
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