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This book propagates a new way of thinking about managing our resources by integrating the perspectives of complex systems theory and social psychology. By resources, the authors mean objects, such as cell phones and cars, and human resources, such as family members, friends, and the small and large communities they belong to. As we all face the "replace or repair" dichotomy, readers will understand how to repair themselves, their relationships, and communities, accept the "new normal," and contribute to repairing the world. The book is offered to Zoomers, growing up in a world where it seems everything is falling apart; people in their 30s and 40s, who are thinking about how to live a fulfilling life; people from the Boomers generation, who are thinking back on life and how to repair relationships. The Reader will enjoy the intellectual adventure of connecting the natural and social worlds and understanding the transition's pathways from a "throwaway society" to a "repair society. Péter Érdi studies complex systems and focuses on the big picture in human life. His previous book, RANKING: The Unwritten Rules of the Social Game We All Play, illuminated our powerful interest in pecking orders, which we share with many other animals, shown no more dramatically than Americans' obsession with "Who's Number 1?" in college football every season. In Repair, Erdi's nose for the powerful influences of our hidden animal nature leads him to produce a fascinating analysis of one of the most common and important types of decisions we make: whether to stick with what we have and make it work (somehow), upgrade it, or replace it entirely. Why do we choose one option over the others? With his coauthor Zsuzsa Szvetelszky, Erdi deftly shows how widely this basic dilemma applies and permeates our lives, from deciding whether it is finally time for a new car or refrigerator, to reconnecting with an old friend, or even leaving one's job and start that 'second career' at last. Best of all, by showing us why we tend to make one of these choices instead of the other, the authors give us the ability to make better ones in the future. John A. Bargh Professor of Psychology and Cognitive Science and of Management Yale University With a deep and wide-ranging analysis of alarming economic, sociological, and cultural trends, Érdi and Szvetelszky offer both a sweeping diagnosis of what's broken in our world and some welcome suggestions for repair. Patrick Grim Distinguished Teaching Professor Emeritus, Stony Brook Philosopher in Residence, Center for the Study of Complex Systems, University of Michigan.
Psychology --- Sociology --- Discrete mathematics --- Mathematics --- Classical mechanics. Field theory --- grafentheorie --- sociologie --- systeemtheorie --- persoonlijkheidsleer --- dynamica
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This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.
Engineering. --- Neurosciences. --- Computer simulation. --- Neural networks (Computer science). --- Computational intelligence. --- Computational Intelligence. --- Simulation and Modeling. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Neurology --- Computational neuroscience. --- Data processing. --- Computational neurosciences --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Construction --- Industrial arts --- Technology --- Computational biology --- Neurosciences --- Medicine --- Neuropsychiatry --- Diseases --- Neural networks (Computer science) .
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Brain --- Neurosciences --- Research --- Methodology. --- -Neurosciences --- -Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Cerebrum --- Mind --- Central nervous system --- Head --- -Methodology --- Methodology --- Neural sciences --- Research&delete&
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This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.
Mathematics --- Neuropathology --- Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- neurologie --- farmacologie --- vormgeving --- mineralen (chemie) --- simulaties --- mijnbouw --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- AI (artificiële intelligentie)
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Medicine. --- Neurosciences. --- Neurology. --- Computer memory systems. --- Computers. --- Computer science --- Artificial intelligence. --- Medicine & Public Health. --- Computation by Abstract Devices. --- Artificial Intelligence (incl. Robotics). --- Memory Structures. --- Symbolic and Algebraic Manipulation. --- Mathematics. --- Cerebral cortex --- Neural networks (Neurobiology) --- Mathematical models --- Brain mantle --- Cortex, Cerebral --- Cortex cerebri --- Mantle of brain --- Pallium (Brain) --- Telencephalon --- Computer science. --- Memory management (Computer scie. --- Algebra --- Artificial Intelligence. --- Data processing. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Medicine --- Neuropsychiatry --- Diseases --- Neurology . --- Computer science—Mathematics. --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Memory systems --- Storage devices --- Computer storage devices.
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The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.
Complex analysis --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- factoranalyse --- complexe analyse (wiskunde) --- machine learning --- informatica --- KI (kunstmatige intelligentie) --- robots
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The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.
Complex analysis --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- factoranalyse --- complexe analyse (wiskunde) --- machine learning --- informatica --- KI (kunstmatige intelligentie) --- robots
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Complex analysis --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- factoranalyse --- complexe analyse (wiskunde) --- machine learning --- informatica --- KI (kunstmatige intelligentie) --- robots --- AI (artificiële intelligentie)
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Complex analysis --- Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- neuronale netwerken --- beeldverwerking --- factoranalyse --- complexe analyse (wiskunde) --- machine learning --- informatica --- KI (kunstmatige intelligentie) --- robots --- AI (artificiële intelligentie)
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Neurology . --- Computers. --- Artificial intelligence. --- Computer memory systems. --- Computer science—Mathematics. --- Neurosciences. --- Neurology. --- Computation by Abstract Devices. --- Artificial Intelligence. --- Memory Structures. --- Symbolic and Algebraic Manipulation. --- Computer storage devices.