Brains Machines And Mathematics

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Brains, Machines, and Mathematics

Author : Michael A. Arbib
Publisher : Springer Science & Business Media
ISBN 13 : 1461247829
Total Pages : 215 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Brains, Machines, and Mathematics by : Michael A. Arbib

Download or read book Brains, Machines, and Mathematics written by Michael A. Arbib and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book whose time has come-again. The first edition (published by McGraw-Hill in 1964) was written in 1962, and it celebrated a number of approaches to developing an automata theory that could provide insights into the processing of information in brainlike machines, making it accessible to readers with no more than a college freshman's knowledge of mathematics. The book introduced many readers to aspects of cybernetics-the study of computation and control in animal and machine. But by the mid-1960s, many workers abandoned the integrated study of brains and machines to pursue artificial intelligence (AI) as an end in itself-the programming of computers to exhibit some aspects of human intelligence, but with the emphasis on achieving some benchmark of performance rather than on capturing the mechanisms by which humans were themselves intelligent. Some workers tried to use concepts from AI to model human cognition using computer programs, but were so dominated by the metaphor "the mind is a computer" that many argued that the mind must share with the computers of the 1960s the property of being serial, of executing a series of operations one at a time. As the 1960s became the 1970s, this trend continued. Meanwhile, experi mental neuroscience saw an exploration of new data on the anatomy and physiology of neural circuitry, but little of this research placed these circuits in the context of overall behavior, and little was informed by theoretical con cepts beyond feedback mechanisms and feature detectors.

Brains, Machines, and Mathematics

Author : Michael A. Arbib
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Brains, Machines, and Mathematics by : Michael A. Arbib

Download or read book Brains, Machines, and Mathematics written by Michael A. Arbib and published by . This book was released on 1963 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Giant brains; or, Machines that think

Author : Edmund Callis Berkeley
Publisher : Good Press
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.4/5 (66 download)

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Book Synopsis Giant brains; or, Machines that think by : Edmund Callis Berkeley

Download or read book Giant brains; or, Machines that think written by Edmund Callis Berkeley and published by Good Press. This book was released on 2023-07-10 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Giant brains; or, Machines that think" by Edmund Callis Berkeley. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

Giant Brains Or Machines that Think

Author : Edmund Callis Berkeley
Publisher :
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Giant Brains Or Machines that Think by : Edmund Callis Berkeley

Download or read book Giant Brains Or Machines that Think written by Edmund Callis Berkeley and published by . This book was released on 1950 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematics for Machine Learning

Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

After Digital

Author : James A. Anderson
Publisher : Oxford University Press
ISBN 13 : 019935779X
Total Pages : 288 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis After Digital by : James A. Anderson

Download or read book After Digital written by James A. Anderson and published by Oxford University Press. This book was released on 2017-03-03 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current computer technology doubles in in power roughly every two years, an increase called "Moore's Law." This constant increase is predicted to come to an end soon. Digital technology will change. Although digital computers dominate today's world, there are alternative ways to "compute" which might be better and more efficient than digital computation. After Digital looks at where the field of computation began and where it might be headed, and offers predictions about a collaborative future relationship between human cognition and mechanical computation. James A. Anderson, a pioneer of biologically inspired neural nets, presents two different kinds of computation-digital and analog--and gives examples of their history, function, and limitations. A third, the brain, falls somewhere in between these two forms, and is suggested as a computer architecture that is more capable of performing some specific important cognitive tasks-perception, reasoning, and intuition, for example- than a digital computer, even though the digital computer is constructed from far faster and more reliable basic elements. Anderson discusses the essentials of brain hardware, in particular, the cerebral cortex, and how cortical structure can influence the form taken by the computational operations underlying cognition. Topics include association, understanding complex systems through analogy, formation of abstractions, the biology of number and its use in arithmetic and mathematics, and computing across scales of organization. These applications, of great human interest, also form the goals of genuine artificial intelligence. After Digital will appeal to a broad cognitive science community, including computer scientists, philosophers, psychologists, and neuroscientists, as well as the curious science layreader, and will help to understand and shape future developments in computation.

Brains for Machines

Author : Harold Reed
Publisher : Nova Publishers
ISBN 13 : 9781560723202
Total Pages : 160 pages
Book Rating : 4.7/5 (232 download)

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Book Synopsis Brains for Machines by : Harold Reed

Download or read book Brains for Machines written by Harold Reed and published by Nova Publishers. This book was released on 1996 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brains for Machines

How We Learn

Author : Stanislas Dehaene
Publisher : Penguin
ISBN 13 : 0525559906
Total Pages : 369 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis How We Learn by : Stanislas Dehaene

Download or read book How We Learn written by Stanislas Dehaene and published by Penguin. This book was released on 2021-02-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”--The New York Times Book Review An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency? In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain’s learning algorithms in our schools and universities, as well as in everyday life and at any age.

The Computer and the Brain

Author : John Von Neumann
Publisher : Yale University Press
ISBN 13 : 9780300084733
Total Pages : 116 pages
Book Rating : 4.0/5 (847 download)

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Book Synopsis The Computer and the Brain by : John Von Neumann

Download or read book The Computer and the Brain written by John Von Neumann and published by Yale University Press. This book was released on 2000-01-01 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the views of one of the greatest mathematicians of the twentieth century on the analogies between computing machines and the living human brain. John von Neumann concludes that the brain operates in part digitally, in part analogically, but uses a peculiar statistical language unlike that employed in the operation of man-made computers. This edition includes a new foreword by two eminent figures in the fields of philosophy, neuroscience, and consciousness.

The Metaphorical Brain 2

Author : Michael A. Arbib
Publisher :
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Metaphorical Brain 2 by : Michael A. Arbib

Download or read book The Metaphorical Brain 2 written by Michael A. Arbib and published by . This book was released on 1989-08-14 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This was begun as a revision of the 1972 classic The Metaphorical Brain, but quickly grew into an independent work. This new volume offers readers a timely, in-depth exploration of exciting research into the interplay between brain modeling, computer design and artificial intelligence.

The Handbook of Brain Theory and Neural Networks

Author : Michael A. Arbib
Publisher : MIT Press (MA)
ISBN 13 : 9780262511025
Total Pages : 1118 pages
Book Rating : 4.5/5 (11 download)

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Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press (MA). This book was released on 1998 with total page 1118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the entire sweep of topics—from detailed models of single neurons, analyses of a wide variety of biological neural networks, and connectionist studies of psychology and language, to mathematical analyses of a variety of abstract neural networks, and technological applications of adaptive, artificial neural networks. Expository material makes the book accessible to readers with varied backgrounds while still offering a clear view of the recent, specialized research on specific topics.

The Emperor's New Mind

Author : Roger Penrose
Publisher : Oxford Paperbacks
ISBN 13 : 0192861980
Total Pages : 634 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis The Emperor's New Mind by : Roger Penrose

Download or read book The Emperor's New Mind written by Roger Penrose and published by Oxford Paperbacks. This book was released on 1999-03-04 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever approach the intricacy of the human mind. 144 illustrations.

How We Learn

Author : Stanislas Dehaene
Publisher : Penguin
ISBN 13 : 0525559906
Total Pages : 369 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis How We Learn by : Stanislas Dehaene

Mathematical Intelligence

Author : Junaid Mubeen
Publisher : Profile Books
ISBN 13 : 1782837957
Total Pages : 226 pages
Book Rating : 4.7/5 (828 download)

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Book Synopsis Mathematical Intelligence by : Junaid Mubeen

Download or read book Mathematical Intelligence written by Junaid Mubeen and published by Profile Books. This book was released on 2022-06-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: There's so much talk about the threat posed by intelligent machines that it sometimes seems as though we should surrender to our robot overlords. But Junaid Mubeen isn't ready to throw in the towel just yet. As far as he is concerned, we have the creative edge over machines, because of a remarkable system of thought that humans have developed over the millennia. It's familiar to us all, but often badly taught in schools and misrepresented in popular discourse - maths. Computers are, of course, brilliant at totting up sums, pattern-seeking and performing mindless tasks of, well, computation. For all things calculation, machines reign supreme. But Junaid identifies seven areas of intelligence where humans can retain a crucial edge. And in exploring these areas, he opens up a fascinating world where we can develop our uniquely human mathematical superpowers.

Language, Music, and the Brain

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262018101
Total Pages : 677 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Language, Music, and the Brain by : Michael A. Arbib

Download or read book Language, Music, and the Brain written by Michael A. Arbib and published by MIT Press. This book was released on 2013-06-28 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: A presentation of music and language within an integrative, embodied perspective of brain mechanisms for action, emotion, and social coordination. This book explores the relationships between language, music, and the brain by pursuing four key themes and the crosstalk among them: song and dance as a bridge between music and language; multiple levels of structure from brain to behavior to culture; the semantics of internal and external worlds and the role of emotion; and the evolution and development of language. The book offers specially commissioned expositions of current research accessible both to experts across disciplines and to non-experts. These chapters provide the background for reports by groups of specialists that chart current controversies and future directions of research on each theme. The book looks beyond mere auditory experience, probing the embodiment that links speech to gesture and music to dance. The study of the brains of monkeys and songbirds illuminates hypotheses on the evolution of brain mechanisms that support music and language, while the study of infants calibrates the developmental timetable of their capacities. The result is a unique book that will interest any reader seeking to learn more about language or music and will appeal especially to readers intrigued by the relationships of language and music with each other and with the brain. Contributors Francisco Aboitiz, Michael A. Arbib, Annabel J. Cohen, Ian Cross, Peter Ford Dominey, W. Tecumseh Fitch, Leonardo Fogassi, Jonathan Fritz, Thomas Fritz, Peter Hagoort, John Halle, Henkjan Honing, Atsushi Iriki, Petr Janata, Erich Jarvis, Stefan Koelsch, Gina Kuperberg, D. Robert Ladd, Fred Lerdahl, Stephen C. Levinson, Jerome Lewis, Katja Liebal, Jônatas Manzolli, Bjorn Merker, Lawrence M. Parsons, Aniruddh D. Patel, Isabelle Peretz, David Poeppel, Josef P. Rauschecker, Nikki Rickard, Klaus Scherer, Gottfried Schlaug, Uwe Seifert, Mark Steedman, Dietrich Stout, Francesca Stregapede, Sharon Thompson-Schill, Laurel Trainor, Sandra E. Trehub, Paul Verschure

Computers and Brains

Author :
Publisher : Elsevier
ISBN 13 : 9780080861586
Total Pages : 262 pages
Book Rating : 4.8/5 (615 download)

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Book Synopsis Computers and Brains by :

Download or read book Computers and Brains written by and published by Elsevier. This book was released on 1970-01-01 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers and Brains

How Brains Make Up Their Minds

Author : Walter J. Freeman
Publisher : Columbia University Press
ISBN 13 : 9780231120081
Total Pages : 190 pages
Book Rating : 4.1/5 (2 download)

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Book Synopsis How Brains Make Up Their Minds by : Walter J. Freeman

Download or read book How Brains Make Up Their Minds written by Walter J. Freeman and published by Columbia University Press. This book was released on 2000 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: I think, therefore I am. The legendary pronouncement of philosopher René Descartes lingers as accepted wisdom in the Western world nearly four centuries after its author's death. But does thought really come first? Who actually runs the show: we, our thoughts, or the neurons firing within our brains? Walter J. Freeman explores how we control our behavior and make sense of the world around us. Avoiding determinism both in sociobiology, which proposes that persons' genes control their brains' functioning, and in neuroscience, which posits that their brains' disposition is molded by chemistry and environmental forces, Freeman charts a new course--one that gives individuals due credit and responsibility for their actions. Drawing upon his five decades of research in neuroscience, Freeman utilizes the latest advances in his field as well as perspectives from disciplines as diverse as mathematics, psychology, and philosophy to explicate how different human brains act in their chosen diverse ways. He clarifies the implications of brain imaging, by which neural activity can be observed during the course of normal movements, and shows how nonlinear dynamics reveals order within the fecund chaos of brain function.