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Statistical physics --- Phase transformations (Statistical physics) --- Space and time --- Self-organizing systems --- Congresses --- Phase transformations (Statistical physics) - Congresses --- Space and time - Congresses --- 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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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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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 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.