TY - BOOK ID - 7987233 TI - Dynamics of information systems : algorithmic approaches AU - Sorokin, Alexey. AU - Pardalos, P. M. PY - 2013 SN - 1461475813 1489989404 1461475821 PB - New York : Springer Science, DB - UniCat KW - Dynamics. KW - Information networks -- Mathematics. KW - Information theory -- Mathematics. KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - Operations Research KW - Information technology KW - Mathematical analysis. KW - Mathematical models. KW - 517.1 Mathematical analysis KW - Mathematical analysis KW - IT (Information technology) KW - Mathematics. KW - Operations research. KW - Decision making. KW - Ergodic theory. KW - System theory. KW - Management science. KW - Operations Research, Management Science. KW - Dynamical Systems and Ergodic Theory. KW - Systems Theory, Control. KW - Operation Research/Decision Theory. KW - Technology KW - Telematics KW - Information superhighway KW - Knowledge management KW - Differentiable dynamical systems. KW - Systems theory. KW - Operations Research/Decision Theory. KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Differential dynamical systems KW - Dynamical systems, Differentiable KW - Dynamics, Differentiable KW - Differential equations KW - Global analysis (Mathematics) KW - Topological dynamics KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Systems, Theory of KW - Systems science KW - Science KW - Ergodic transformations KW - Continuous groups KW - Mathematical physics KW - Measure theory KW - Transformations (Mathematics) KW - Dynamical systems KW - Kinetics KW - Mathematics KW - Mechanics, Analytic KW - Force and energy KW - Mechanics KW - Physics KW - Statics KW - Quantitative business analysis KW - Operations research KW - Statistical decision KW - Decision making KW - Philosophy KW - Information theory. KW - Electronic data processing KW - Computer networks. KW - Distributed processing. UR - https://www.unicat.be/uniCat?func=search&query=sysid:7987233 AB - 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. ER -