Download or read book Minds Brains and Computers written by Ralph Morelli and published by Intellect Books. This book was released on 1992 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basic questions addressed in this book are: what is the computational nature of cognition, and what role does it play in language and other mental processes?; What are the main characteristics of contemporary computational paradigms for describing cognition and how do they differ from each other?; What are the prospects for building cognition and how do they differ from each other?; and what are the prospects for building an artificial intelligence?
Download or read book Minds Brains and Science written by John R. Searle and published by Harvard University Press. This book was released on 1986-01-01 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minds, Brains and Science takes up just the problems that perplex people, and it does what good philosophy always does: it dispels the illusion caused by the specious collision of truths. How do we reconcile common sense and science? John Searle argues vigorously that the truths of common sense and the truths of science are both right and that the only question is how to fit them together. Searle explains how we can reconcile an intuitive view of ourselves as conscious, free, rational agents with a universe that science tells us consists of mindless physical particles. He briskly and lucidly sets out his arguments against the familiar positions in the philosophy of mind, and details the consequences of his ideas for the mind-body problem, artificial intelligence, cognitive science, questions of action and free will, and the philosophy of the social sciences.
Download or read book Minds Brains and Machines written by Geoffrey Brown and published by . This book was released on 1989 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Brains Machines and Mathematics written by Michael A. Arbib and published by New York : McGraw-Hill. This book was released on 1964 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Philosophy of Mind written by John Heil and published by Oxford University Press, USA. This book was released on 2004 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by a renowned scholar in the field, this anthology provides a self-contained introduction to the philosophy of mind. Both an anthology and commentary, it contains an extensive collection of classical and contemporary readings on the subject, as well as substantial editorial material, which set the extracts in context and guide the reader through them. The volume is organised into 12 sections, providing instructors with flexibility in designing and teaching a variety of courses.
Download or read book Your Brain Is a Time Machine The Neuroscience and Physics of Time written by Dean Buonomano and published by W. W. Norton & Company. This book was released on 2017-04-04 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Beautifully written, eloquently reasoned…Mr. Buonomano takes us off and running on an edifying scientific journey." —Carol Tavris, Wall Street Journal In Your Brain Is a Time Machine, leading neuroscientist Dean Buonomano embarks on an "immensely engaging" exploration of how time works inside the brain (Barbara Kiser, Nature). The human brain, he argues, is a complex system that not only tells time, but creates it; it constructs our sense of chronological movement and enables "mental time travel"—simulations of future and past events. These functions are essential not only to our daily lives but to the evolution of the human race: without the ability to anticipate the future, mankind would never have crafted tools or invented agriculture. This virtuosic work of popular science will lead you to a revelation as strange as it is true: your brain is, at its core, a time machine.
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.
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.
Download or read book Minds Brains Computers written by Robert M. Harnish and published by Wiley-Blackwell. This book was released on 2001-10-08 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minds, Brains, Computers serves as both an historical and interdisciplinary introduction to the foundations of cognitive science.
Download or read book The Digital Mind written by Arlindo Oliveira and published by MIT Press. This book was released on 2018-03-09 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?
Download or read book Computers and Cognition Why Minds are not Machines written by J.H. Fetzer and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important collection of studies providing a fresh and original perspective on the nature of mind, including thoughtful and detailed arguments that explain why the prevailing paradigm - the computational conception of language and mentality - can no longer be sustained. An alternative approach is advanced, inspired by the work of Charles S. Peirce, according to which minds are sign-using (or `semiotic') systems, which in turn generates distinctions between different kinds of minds and overcomes problems that burden more familiar alternatives. Unlike conceptions of minds as machines, this novel approach has obvious evolutionary implications, where differences in semiotic abilities tend to distinguish the species. From this point of view, the scope and limits of computer and AI systems can be more adequately appraised and alternative accounts of consciousness and cognition can be more thoroughly criticised. Readership: Intermediate and advanced students of computer science, AI, cognitive science, and all students of the philosophy of the mind.
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.
Download or read book Minds Brains and Computers written by Robert Cummins and published by Blackwell Publishing. This book was released on 2000-02-03 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work offers a selection of seminal papers on the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy and cognitive psychology. Each category includes papers that show the conception in question, illustrate, interpret or criticise it.
Download or read book Are You a Machine written by Eliezer J. Sternberg and published by Rlpg/Galleys. This book was released on 2007 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Right now, someone in an artificial intelligence lab is fusing silicon circuitry in an attempt to engineer the human mind. In a hospital, a neurosurgeon is attempting to influence a patient's emotions by firing electrical impulses into his brain. In a classroom, a teacher is explaining how neurons in the brain interact to generate thoughts, feelings, and decisions. The question of where consciousness comes from and how it works is likely the greatest mystery we face. Despite progress in our knowledge of the brain, we still don't know how it allows us to do things like enjoy a sunset, solve a math problem, or use our imagination. For those of us who have ever thought about issues of the mind or free will, these developments pose provocative questions. What would happen if those mysterious processes could be understood? Would a scientist be able to know everything about our minds just from studying the systems in our brains? Could he predict how we will think and act? After all, the brain is an organ just like the heart or stomach, and scientists can figure out when the heart will beat and when the stomach will release bile. If such a thing could be accomplished, would that make me a machine? There are those who approach this question from a technological perspective. Someday, an engineer might be able to build a robot with my memories, opinions, and behavior. Would that make me a machine? This concise, lucid primer on neuroscience and philosophy of mind takes the reader to the very depths of the mystery of consciousness, exploring it through the eyes of key philosophers, neuroscientists, and technologists. Avoiding jargon and oversimplification, author Eliezer J. Sternberg illuminates baffling questions of the brain, mind, and what it means to be human.
Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks
Download or read book Super Intelligent Machines written by Bill Hibbard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.
Download or read book The Book of Minds written by Philip Ball and published by University of Chicago Press. This book was released on 2022-06-28 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Popular science writer Philip Ball explores a range of sciences to map our answers to a huge, philosophically rich question: How do we even begin to think about minds that are not human? Sciences from zoology to astrobiology, computer science to neuroscience, are seeking to understand minds in their own distinct disciplinary realms. Taking a uniquely broad view of minds and where to find them—including in plants, aliens, and God—Philip Ball pulls the pieces together to explore what sorts of minds we might expect to find in the universe. In so doing, he offers for the first time a unified way of thinking about what minds are and what they can do, by locating them in what he calls the “space of possible minds.” By identifying and mapping out properties of mind without prioritizing the human, Ball sheds new light on a host of fascinating questions: What moral rights should we afford animals, and can we understand their thoughts? Should we worry that AI is going to take over society? If there are intelligent aliens out there, how could we communicate with them? Should we? Understanding the space of possible minds also reveals ways of making advances in understanding some of the most challenging questions in contemporary science: What is thought? What is consciousness? And what (if anything) is free will? Informed by conversations with leading researchers, Ball’s brilliant survey of current views about the nature and existence of minds is more mind-expanding than we could imagine. In this fascinating panorama of other minds, we come to better know our own.
