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The book is a collection of peer-reviewed scientific papers submitted by active researchers in the 37th National System Conference (NSC 2013). NSC is an annual event of the Systems Society of India (SSI), primarily oriented to strengthen the systems movement and its applications for the welfare of humanity. A galaxy of academicians, professionals, scientists, statesman and researchers from different parts of the country and abroad are invited to attend the conference. The book presents research articles in the areas of system’s modelling, complex network modelling, cyber security, sustainable systems design, health care systems, socio-economic systems, and clean and green technologies. The book can be used as a tool for further research.

Engineering. --- Computational Intelligence. --- Socio- and Econophysics, Population and Evolutionary Models. --- Organizational Studies, Economic Sociology. --- Ingénierie --- Engineering & Applied Sciences --- Computer Science --- System theory --- System analysis --- Data-driven Science, Modeling and Theory Building. --- Construction --- Industrial arts --- Technology --- Computational intelligence. --- Sociophysics. --- Econophysics. --- Economic sociology. --- Economic sociology --- Economics --- Socio-economics --- Socioeconomics --- Sociology of economics --- Sociology --- Statistical physics --- Mathematical sociology --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Social aspects --- Statistical methods

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This monograph demonstrates the interplay between Shannon information and semantic information in cognition. It shows that Shannon’s information acts as driving force for the formation of semantic information; and vice versa, namely, that semantic information participates in the formation of Shannonian information. The authors show that in cognition, Shannonian and semantic information are interrelated as two aspects of a cognitive process termed as information adaptation. In the latter the mind/brain adapts to the environment by the deflating and/or inflating of the information conveyed by the environment. In the process of information adaptation, quantitative variations in Shannon’s information entail different meanings while different meanings affect the quantity of information. The book illustrates the above conceptually and mathematically by reference to three cognitive processes: pattern recognition, face learning and the recognition of a moving object.

Engineering. --- Complexity. --- Socio- and Econophysics, Population and Evolutionary Models. --- Computational Intelligence. --- Nonlinear Dynamics. --- Physics. --- Ingénierie --- Physique --- Engineering & Applied Sciences --- Computer Science --- Information theory. --- Information measurement. --- Semantics. --- Formal semantics --- Semasiology --- Semiology (Semantics) --- Information measures (Information theory) --- Informational measure --- Measure of information --- Shannon-Wiener information measure --- Signals (Information theory) --- Communication theory --- Statistical physics. --- Sociophysics. --- Econophysics. --- Computational intelligence. --- Complexity, Computational. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Economics --- Statistical physics --- Mathematical sociology --- Physics --- Mathematical statistics --- Construction --- Industrial arts --- Technology --- Statistical methods --- Information theory --- Communication --- Cybernetics --- Comparative linguistics --- Language and languages --- Lexicology --- Meaning (Psychology) --- Data-driven Science, Modeling and Theory Building. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Computational complexity.

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This volume analyses the evolution of humankind by combining approaches from science and the arts. It offers a novel perspective on the evolution of life on Earth, based on a recent reformulation of the second law of thermodynamics in terms of the “maximum entropy production principle.” In essence, the Earth is but one of many “white holes” in the universe, where life functions as a specific arrangement for the rapid dissipation of energy gradients by generating self-organized structures. Evolution of life in the universe is a creative process of increasing complexity as a Bayesian ratchet of knowledge accumulation, advancing in an evolutionary maze characterized by myriad blind alleys. On Earth, the human species has progressed more than any other by creating artefacts that have become both agents and products of in our cumulative cultural evolution. Culture has dramatically enhanced the rate of dissipation of energy gradients. Extrapolating from the acceleration of cultural evolution suggests that humanity will reach the Civilization Singularity in the middle of the 21st century, a point in time at which the rate of changes, and hence their unpredictability and uncontrollability, will converge to infinity. Humankind has now entered the ultimate age, in which the exuberance and splendour of human feats may be metaphorically likened to fireworks. The author highlights a new role of scientists as intellectuals who can create “music for the fireworks” by analysing the consequences of the astounding dynamics in order to make the closing phase of human evolution a sublime one marked by minimal political and social tensions.

Life Sciences. --- Evolutionary Biology. --- Socio- and Econophysics, Population and Evolutionary Models. --- Philosophy of Biology. --- Popular Life Sciences. --- Philosophy of the Social Sciences. --- Life sciences. --- Biology --- Social sciences --- Evolution (Biology). --- Sciences de la vie --- Biologie --- Sciences sociales --- Evolution (Biologie) --- Philosophy. --- Philosophie --- Life. --- Evolution --- Health & Biological Sciences --- Evolution (Biology) --- Life --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Philosophy --- Philosophy and social sciences. --- Evolutionary biology. --- Sociophysics. --- Econophysics. --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Biology-Philosophy. --- Data-driven Science, Modeling and Theory Building. --- Social philosophy --- Social theory --- Biology—Philosophy. --- Social sciences and philosophy --- Biosciences --- Sciences, Life --- Science --- Economics --- Statistical physics --- Mathematical sociology --- Statistical methods

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This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness. Volume 1 presents the basic concepts, exact results, and asymptotic approximations of the theory of stochastic equations on the basis of the developed functional approach. This approach offers a possibility of both obtaining exact solutions to stochastic problems for a number of models of fluctuating parameters and constructing various asymptotic buildings. Ideas of statistical topography are used to discuss general issues of generating coherent structures from chaos with probability one, i.e., almost in every individual realization of random parameters. The general theory is illustrated with certain problems and applications of stochastic mathematical physics in various fields such as mechanics, hydrodynamics, magnetohydrodynamics, acoustics, optics, and radiophysics.  .

Engineering. --- Complexity. --- Socio- and Econophysics, Population and Evolutionary Models. --- Dynamical Systems and Ergodic Theory. --- Engineering Fluid Dynamics. --- Differentiable dynamical systems. --- Physics. --- Hydraulic engineering. --- Ingénierie --- Dynamique différentiable --- Physique --- Technologie hydraulique --- Engineering & Applied Sciences --- Computer Science --- Dynamics. --- Ergodic theory. --- Sociophysics. --- Econophysics. --- Complexity, Computational. --- Fluid mechanics. --- Data-driven Science, Modeling and Theory Building. --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Construction --- Industrial arts --- Technology --- Computational complexity. --- Economics --- Statistical physics --- Mathematical sociology --- Complexity, Computational --- Electronic data processing --- Machine theory --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Hydromechanics --- Continuum mechanics --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Statistical methods --- Stochastic processes. --- Stochastic differential equations. --- Random processes --- Probabilities --- Fokker-Planck equation

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This book is a study of the interactions between different types of systems, their environment, and their subsystems. The author explains how basic systems principles are applied in engineered (mechanical, electromechanical, etc.) systems and then guides the reader to understand how the same principles can be applied to social, political, economic systems, as well as in everyday life. Readers from a variety of disciplines will benefit from the understanding of system behaviors and will be able to apply those principles in various contexts. The book includes many examples covering various types of systems. The treatment of the subject is non-mathematical, and the book considers some of the latest concepts in the systems discipline, such as agent-based systems, optimization, and discrete events and procedures. · Shows how system knowledge may be applied in many different areas without the need for deep mathematical knowledge; · Demonstrates how to model and simulate system behaviors on personal computers with readily available software packages; · Considers the various ways of optimizing system behavior; · Discusses the benefits of systems with highly distributed intelligence and the ways in which they may be modeled; · Considers how to incorporate discrete events and sequential steps in system dynamics; · Discusses the difference between holistic and reductionist world view. .

Engineering. --- Job Careers in Science and Engineering. --- Vibration, Dynamical Systems, Control. --- Computers and Society. --- Operation Research/Decision Theory. --- Socio- and Econophysics, Population and Evolutionary Models. --- Complexity. --- Computer science. --- Physics. --- Vibration. --- Operations research. --- Ingénierie --- Informatique --- Physique --- Vibration --- Recherche opérationnelle --- Engineering & Applied Sciences --- Engineering - General --- System theory --- Data processing. --- Management. --- Systems, Theory of --- Systems science --- Decision making. --- Computers and civilization. --- Sociophysics. --- Econophysics. --- Complexity, Computational. --- Engineering --- Dynamical systems. --- Dynamics. --- Vocational guidance. --- Science --- Philosophy --- Operations Research/Decision Theory. --- Data-driven Science, Modeling and Theory Building. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- Informatics --- Cycles --- Mechanics --- Sound --- Construction --- Industrial arts --- Technology --- Engineering—Vocational guidance. --- Computational complexity. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Economics --- Statistical physics --- Mathematical sociology --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Civilization and computers --- Civilization --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Statistical methods --- Decision making