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Sociology of organization --- Self-organizing systems --- Systèmes auto-organisés --- Congresses --- Congrès --- -#GGSB: Filosofie --- Learning systems (Automatic control) --- Self-optimizing systems --- Cybernetics --- Intellect --- Learning ability --- Synergetics --- Congresses. --- #GGSB: Filosofie --- Filosofie --- Self-organizing systems - Congresses
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City planning --- Cities and towns --- Time perception --- Urbanisme --- Villes --- Perception du temps --- Effects of technical innovations on --- Social aspects --- Effets des innovations sur --- Aspect social --- Ville --- --Histoire --- --Urbanisme --- --Cities and towns --- Urbanization --- Urban economics --- Self-organizing systems --- Growth --- Congresses --- Cities and towns - Growth - Congresses --- Urbanization - Congresses --- Urban economics - Congresses --- Self-organizing systems - Congresses --- URBANISME --- VILLES --- MODELES MATHEMATIQUES --- CROISSANCE --- RENOVATION
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Complexity Science and Chaos Theory are fascinating areas of scientific research with wide-ranging applications. The interdisciplinary nature and ubiquity of complexity and chaos are features that provides scientists with a motivation to pursue general theoretical tools and frameworks. Complex systems give rise to emergent behaviors, which in turn produce novel and interesting phenomena in science, engineering, as well as in the socio-economic sciences. The aim of all Symposia on Chaos and Complex Systems (CCS) is to bring together scientists, engineers, economists and social scientists, and to discuss the latest insights and results obtained in the area of corresponding nonlinear-system complex (chaotic) behavior. Especially for the “4th International Interdisciplinary Chaos Symposium on Chaos and Complex Systems,” which took place April 29th to May 2nd, 2012 in Antalya, Turkey, the scope of the symposium had been further enlarged so as to encompass the presentation of work from circuits to econophysics, and from nonlinear analysis to the history of chaos theory. The corresponding proceedings collected in this volume address a broad spectrum of contemporary topics, including but not limited to networks, circuits, systems, biology, evolution and ecology, nonlinear dynamics and pattern formation, as well as neural, psychological, psycho-social, socio-economic, management complexity and global systems.
Chaotic behavior in systems -- Congresses. --- Complex systems. --- Self-organizing systems -- Congresses. --- Physics --- Physical Sciences & Mathematics --- Atomic Physics --- Chaotic behavior in systems --- Chaotic synchronization --- Physics. --- System theory. --- Statistical physics. --- Dynamical systems. --- Complexity, Computational. --- Statistical Physics, Dynamical Systems and Complexity. --- Complexity. --- Complex Systems. --- Synchronization
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Pattern recognition systems --- Machine learning --- Self-organizing systems --- -Learning systems (Automatic control) --- Self-optimizing systems --- Cybernetics --- Intellect --- Learning ability --- Synergetics --- Learning, Machine --- Artificial intelligence --- Machine theory --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Congresses --- Machine Learning --- Machine learning. --- Pattern recognition systems. --- Congresses. --- Self-organizing systems - Congresses
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Life (Biology) --- -Macromolecules --- -RNA --- -Self-organizing systems --- -#WSCH:MODS --- Learning systems (Automatic control) --- Self-optimizing systems --- Cybernetics --- Intellect --- Learning ability --- Synergetics --- Ribonucleic acid --- Ribose nucleic acid --- Nucleic acids --- Ribose --- Molecules --- Supramolecular chemistry --- Biology --- Congresses --- RNA --- -Congresses --- Macromolecules --- Self-organizing systems --- #WSCH:MODS --- Life (Biology) - Congresses --- Macromolecules - - Congresses --- Self-organizing systems - Congresses --- RNA - - Congresses --- -Life (Biology) --- RNA -
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In this book, first published in 2004, William Dembski, Michael Ruse, and other prominent philosophers provide a comprehensive balanced overview of the debate concerning biological origins - a controversial dialectic since Darwin published The Origin of Species in 1859. Invariably, the source of controversy has been 'design'. Is the appearance of design in organisms (as exhibited in their functional complexity) the result of purely natural forces acting without prevision or teleology? Or, does the appearance of design signify genuine prevision and teleology, and, if so, is that design empirically detectable and thus open to scientific inquiry? Four main positions have emerged in response to these questions: Darwinism, self-organisation, theistic evolution, and intelligent design. The contributors to this volume define their respective positions in an accessible style, inviting readers to draw their own conclusions. Two introductory essays furnish a historical overview of the debate.
Evolution (Biology) --- Intelligent design (Teleology) --- Self-organizing systems --- Philosophy --- Religious aspects --- Christianity --- Design, Intelligent (Teleology) --- Natural theology --- Philosophy of nature --- Teleology --- Creationism --- God --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Biology --- Evolution --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Proof, Teleological --- Congresses --- Arts and Humanities --- Evolution (Biology) - Philosophy - Congresses. --- Intelligent design (Teleology) - Congresses. --- Evolution (Biology) - Religious aspects - Christianity - Congresses. --- Self-organizing systems - Congresses
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Self-organizing systems --- Learning --- Neural circuitry --- Congresses. --- CHAOS --- Pattern information --- NEURAL NETWORKS --- Self organizing systems --- COMPUTER NETWORKS --- ENTROPY --- Information learning --- Monograph --- Self-organizing systems. --- Computer networks. --- Entropy. --- Thermodynamics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Learning systems (Automatic control) --- Self-optimizing systems --- Cybernetics --- Intellect --- Learning ability --- Synergetics --- Distributed processing --- Self-organizing systems - Congresses. --- Learning - Congresses --- Neural circuitry - Congresses.
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Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.
Neural networks (Computer science) -- Congresses. --- Self-organizing systems -- Congresses. --- Self-organizing systems. --- Neural networks (Computer science) --- Self-organizing maps --- Self-organizing systems --- Engineering & Applied Sciences --- Computer Science --- Algorithms, Kohonen --- Kohonen algorithms --- Kohonen maps --- Kohonen's maps --- Maps, Kohonen --- Maps, Self-organizing --- SOMs (Self-organizing maps) --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Complexity, Computational. --- Computational Intelligence. --- Complexity. --- Artificial Intelligence (incl. Robotics). --- Complexity, Computational --- Electronic data processing --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Artificial Intelligence. --- Computational complexity.
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