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Author: James A. Anderson
Publisher: MIT Press
ISBN: 9780262511117
Category : Medical
Languages : en
Pages : 452
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Book Description
Surprising tales from the scientists who first learned how to use computers to understand the workings of the human brain. Since World War II, a group of scientists has been attempting to understand the human nervous system and to build computer systems that emulate the brain's abilities. Many of the early workers in this field of neural networks came from cybernetics; others came from neuroscience, physics, electrical engineering, mathematics, psychology, even economics. In this collection of interviews, those who helped to shape the field share their childhood memories, their influences, how they became interested in neural networks, and what they see as its future. The subjects tell stories that have been told, referred to, whispered about, and imagined throughout the history of the field. Together, the interviews form a Rashomon-like web of reality. Some of the mythic people responsible for the foundations of modern brain theory and cybernetics, such as Norbert Wiener, Warren McCulloch, and Frank Rosenblatt, appear prominently in the recollections. The interviewees agree about some things and disagree about more. Together, they tell the story of how science is actually done, including the false starts, and the Darwinian struggle for jobs, resources, and reputation. Although some of the interviews contain technical material, there is no actual mathematics in the book. Contributors James A. Anderson, Michael Arbib, Gail Carpenter, Leon Cooper, Jack Cowan, Walter Freeman, Stephen Grossberg, Robert Hecht-Neilsen, Geoffrey Hinton, Teuvo Kohonen, Bart Kosko, Jerome Lettvin, Carver Mead, David Rumelhart, Terry Sejnowski, Paul Werbos, Bernard Widrow
Author: James A. Anderson
Publisher: MIT Press
ISBN: 9780262511117
Category : Medical
Languages : en
Pages : 452
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Book Description
Surprising tales from the scientists who first learned how to use computers to understand the workings of the human brain. Since World War II, a group of scientists has been attempting to understand the human nervous system and to build computer systems that emulate the brain's abilities. Many of the early workers in this field of neural networks came from cybernetics; others came from neuroscience, physics, electrical engineering, mathematics, psychology, even economics. In this collection of interviews, those who helped to shape the field share their childhood memories, their influences, how they became interested in neural networks, and what they see as its future. The subjects tell stories that have been told, referred to, whispered about, and imagined throughout the history of the field. Together, the interviews form a Rashomon-like web of reality. Some of the mythic people responsible for the foundations of modern brain theory and cybernetics, such as Norbert Wiener, Warren McCulloch, and Frank Rosenblatt, appear prominently in the recollections. The interviewees agree about some things and disagree about more. Together, they tell the story of how science is actually done, including the false starts, and the Darwinian struggle for jobs, resources, and reputation. Although some of the interviews contain technical material, there is no actual mathematics in the book. Contributors James A. Anderson, Michael Arbib, Gail Carpenter, Leon Cooper, Jack Cowan, Walter Freeman, Stephen Grossberg, Robert Hecht-Neilsen, Geoffrey Hinton, Teuvo Kohonen, Bart Kosko, Jerome Lettvin, Carver Mead, David Rumelhart, Terry Sejnowski, Paul Werbos, Bernard Widrow
Author: James Alfred Anderson
Publisher:
ISBN:
Category : Neural computers
Languages : en
Pages :
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Book Description
Author: Edward Rosenfeld
Publisher:
ISBN: 9780262511117
Category : Computer scientists
Languages : en
Pages : 448
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Book Description
Author: Matt Sullivan
Publisher: HarperCollins
ISBN: 0063036827
Category : Biography & Autobiography
Languages : en
Pages : 313
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Book Description
“Sportswriter Sullivan takes readers on a propulsive ride in his tour-de-force debut. . . . Sullivan’s detailed account will intrigue anyone who cares about sports and the role it plays in social justice today.” — Publishers Weekly (starred review) "More than a basketball book, this helps explain race relations, celebrity power, and personal choice in a changed world." — Kirkus Reviews "A must-read for its in-depth look at the mental, economic, and political tribulations of NBA players." — Library Journal (starred review) "Only a brilliantly audacious book could begin to make sense of the weirdly brilliant audacity of the new Brooklyn Nets. One writer on Earth could have written this book this way — with the profundity of a sage baller and acuity of a seasoned journalist — and that writer is Matt Sullivan." — Kiese Laymon, New York Times best-selling author of Heavy “With Can't Knock The Hustle, Matt Sullivan correctly positions the basketball games we love as both a prism through which to understand our culture, and a battlefield on which to fight for the better angels of that culture. On the surface, it's a story about the unending march of 2020. But once you finish it, you understand that it's also an essential document about the decades that led us to this moment, and about the future decades yet unspooled." — Wright Thompson, ESPN senior writer and New York Times bestselling author of Pappyland and The Cost of These Dreams “In the dueling eras of unprecedented athlete empowerment and the coarse ugliness of 'shut up and dribble,' Matt Sullivan's Can't Knock the Hustle offers a can't-look-away sampling of not merely the NBA's most fascinating franchise, but a frozen period in time that will leave historians both horrified and riveted." — Jeff Pearlman, New York Times bestselling author of Three-Ring Circus and Showtime “Matt Sullivan is one helluva social anthropologist, and as a result, his Can't Knock the Hustle amounts to way more than a journey with the Brooklyn Nets, or an examination of the modern-day athlete. This is an astute, ambitious book about the glory and torment of talent itself. Basketball? That's just the starting point, and what a trip Sullivan's remarkable odyssey turns out to be.” — James Andrew Miller, New York Times bestselling author of Those Guys Have All the Fun, Live From New York, and Powerhouse “Can't Knock the Hustle is a terrific book because it gives us something in woefully short supply: real journalism. Matt Sullivan has discovered the ground zero of a player revolution—and it's in Brooklyn. Is anybody ready for it?" — Howard Bryant, ESPN senior writer and author of Full Dissidence: Notes from an Uneven Playing Field “The superstar-studded Brooklyn Nets are basketball's most captivating team, and Can't Knock the Hustle delivers a fascinating secret history of their journey to the pantheon of player activism and empowerment. With brilliant reporting and breakneck prose, this is our generation's Moneyball.” — Don Van Natta Jr., Pulitzer Prize-winning ESPN investigative reporter and New York Times bestselling author of First Off the Tee and Wonder Girl “No narrative has captured the dynamics of the ‘player empowerment’ movement quite like Can’t Knock the Hustle. Sullivan has written about as revealing a basketball book as there's been in a long time: an insider’s account with an outsider’s moxie.” — Dave Zirin, The Nation sports editor and author of The Kaepernick Effect
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 152
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Book Description
Author: Alice Packard
Publisher:
ISBN:
Category : Child rearing
Languages : en
Pages : 510
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Book Description
Author: Igor Aleksander
Publisher: World Scientific
ISBN: 9814343501
Category : Computers
Languages : en
Pages : 241
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Book Description
Aristotle''s convincing philosophy is likely to have shaped (even indirectly) many of our current beliefs, prejudices and attitudes to life. This includes the way in which our mind (that is, our capacity to have private thoughts) appears to elude a scientific description. This book is about a scientific ingredient that was not available to Aristotle: the science of information. Would the course of the philosophy of the mind have been different had Aristotle pronounced that the matter of mind was information? This OC mind is informationOCO assertion is often heard in contemporary debates, and this book explores the verities and falsehoods of this proposition."
Author: Àngels Massip-Bonet
Publisher: Springer
ISBN: 3642328172
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
The “language-communication-society” triangle defies traditional scientific approaches. Rather, it is a phenomenon that calls for an integration of complex, transdisciplinary perspectives, if we are to make any progress in understanding how it works. The highly diverse agents in play are not merely cognitive and/or cultural, but also emotional and behavioural in their specificity. Indeed, the effort may require building a theoretical and methodological body of knowledge that can effectively convey the characteristic properties of phenomena in human terms. New complexity approaches allow us to rethink our limited and mechanistic images of human societies and create more appropriate emo-cognitive dynamic and holistic models. We have to enter into dialogue with the complexity views coming out of other more ‘material’ sciences, but we also need to take steps in the linguistic and psycho-sociological fields towards creating perspectives and concepts better fitted to human characteristics. Our understanding of complexity is different – but not opposed – to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ‘human’ or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society. Our understanding of complexity is different – but not opposed – to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ‘human’ or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society.
Author: Margaret A. Boden
Publisher: Oxford University Press
ISBN: 0199241449
Category : Computers
Languages : en
Pages : 1705
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Book Description
Cognitive science is among the most fascinating intellectual achievements of the modern era. The quest to understand the mind is an ancient one. But modern science has offered new insights and techniques that have revolutionized this enquiry. Oxford University Press now presents a masterlyhistory of the field, told by one of its most eminent practitioners.Psychology is the thematic heart of cognitive science, which aims to understand human (and animal) minds. But its core theoretical ideas are drawn from cybernetics and artificial intelligence, and many cognitive scientists try to build functioning models of how the mind works. In that sense,Margaret Boden suggests, its key insight is that mind is a (very special) machine. Because the mind has many different aspects, the field is highly interdisciplinary. It integrates psychology not only with cybernetics/AI, but also with neuroscience and clinical neurology; with the philosophy ofmind, language, and logic; with linguistic work on grammar, semantics, and communication; with anthropological studies of cultures; and with biological (and A-Life) research on animal behaviour, evolution, and life itself. Each of these disciplines, in its own way, asks what the mind is, what itdoes, how it works, how it develops---and how it is even possible.Boden traces the key questions back to Descartes's revolutionary writings, and to the ideas of his followers--and his radical critics--through the eighteenth and nineteenth centuries. Her story shows how controversies in the development of experimental physiology, neurophysiology, psychology,evolutionary biology, embryology, and logic are still relevant today. Then she guides the reader through the complex interlinked paths along which the study of mind developed in the twentieth century. Cognitive science covers all mental phenomena: not just 'cognition' (knowledge), but also emotion,personality, psychopathology, social communication, religion, motor action, and consciousness. In each area, Boden introduces the key ideas and researchers and discusses those philosophical critics who see cognitive science as fundamentally misguided. And she sketches the waves of resistance andacceptance on the part of the media and general public, showing how these have affected the development of the field.No one else could tell this story as Boden can: she has been a member of the cognitive science community since the late-1950s, and has known many of its key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story atfirst hand. Her history looks forward as well as back: besides asking how state-of-the-art research compares with the hopes of the early pioneers, she identifies the most promising current work. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, whowants to know how our understanding of mental capacities has advanced over the years.
Author: Petia Koprinkova-Hristova
Publisher: Springer
ISBN: 3319099035
Category : Technology & Engineering
Languages : en
Pages : 488
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Book Description
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
