Deep Thinking

Deep Thinking Author Garry Kasparov
ISBN-10 9781473653528
Year 2017-06-01
Pages 288
Language en
Publisher Hachette UK
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In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect. It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans -- a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field. Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer. In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time -- what it was like to strategize against an implacable, untiring opponent -- the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.

The Knowledge Illusion

The Knowledge Illusion Author Steven Sloman
ISBN-10 9781509811052
Year 2017-04-06
Pages
Language en
Publisher Pan Macmillan
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Human reasoning is remarkably shallow - in fact, our thinking and justifications just scratch the surface of the true complexity of the issues we deal with. The ability to think may still be the greatest wonder in the world (and beyond), but the way that individuals think is less than ideal. In The Knowledge Illusion, Sloman and Fernbach show that our intelligence resides not in individual brains but in the collective mind. To function, individuals rely not only on knowledge that is stored within our skulls but also on knowledge stored elsewhere, be it in our bodies, in the environment or especially in other people. Put together, human thought is incredibly impressive, but at its deepest level it never belongs to any individual alone. And yet the mind supports the most sublime, incredible phenomenon of all: consciousness. How can any of this be possible with a mind that is so imperfect? This is one of the key challenges confronted in this book. The Knowledge Illusion ties together established scientific facts whilst also considering what the mind is for. Understanding why the mind is as it is, and what it is for, will show why we need to consider it as extending beyond our skulls; why we should think about 'the mind' as far more than an extension of the brain but as an emergence from multiple brains interacting. Simply put, individuals know relatively little, but the human hive that emerges when people work together knows a lot.

Artificial Intelligence and Literary Creativity

Artificial Intelligence and Literary Creativity Author Selmer Bringsjord
ISBN-10 9781135692469
Year 1999-09-01
Pages 262
Language en
Publisher Psychology Press
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Is human creativity a wall that AI can never scale? Many people are happy to admit that experts in many domains can be matched by either knowledge-based or sub-symbolic systems, but even some AI researchers harbor the hope that when it comes to feats of sheer brilliance, mind over machine is an unalterable fact. In this book, the authors push AI toward a time when machines can autonomously write not just humdrum stories of the sort seen for years in AI, but first-rate fiction thought to be the province of human genius. It reports on five years of effort devoted to building a story generator--the BRUTUS.1 system. This book was written for three general reasons. The first theoretical reason for investing time, money, and talent in the quest for a truly creative machine is to work toward an answer to the question of whether we ourselves are machines. The second theoretical reason is to silence those who believe that logic is forever closed off from the emotional world of creativity. The practical rationale for this endeavor, and the third reason, is that machines able to work alongside humans in arenas calling for creativity will have incalculable worth.

Superintelligence

Superintelligence Author Nick Bostrom
ISBN-10 9780199678112
Year 2014
Pages 328
Language en
Publisher Oxford University Press (UK)
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Human beings occupy a dominant position on our planet, not because we have stronger muscles or sharper teeth than other species, but because we have smarter brains. Our brains developed the technologies and the complex social organization that make us powerful. For example, our smartness gave us bulldozers and knives that are stronger and sharper than any animal's muscles or teeth.If machine brains come to surpass human brains as ours surpass those of other animals, the machine brains could become as powerful relative to us as we are to the other animals. Extreme levels of machine intelligence - superintelligence - would potentially be in a position to shape the future. What happens to humanity, whether humanity would even survive, would then depend on the goals of the superintelligence. The possibility of a machine intelligence revolution is therefore an extremely important topic. Perhaps it is the most important topic.Readership : Suitable for general readers as well as academics in the fields of Artificial Intelligence and Machine Learning, Computer Science, and Philosophy.

How Life Imitates Chess

How Life Imitates Chess Author Garry Kasparov
ISBN-10 1596918276
Year 2010-08-10
Pages 240
Language en
Publisher Bloomsbury Publishing USA
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Garry Kasparov was the highest-rated chess player in the world for over twenty years and is widely considered the greatest player that ever lived. In How Life Imitates Chess Kasparov distills the lessons he learned over a lifetime as a Grandmaster to offer a primer on successful decision-making: how to evaluate opportunities, anticipate the future, devise winning strategies. He relates in a lively, original way all the fundamentals, from the nuts and bolts of strategy, evaluation, and preparation to the subtler, more human arts of developing a personal style and using memory, intuition, imagination and even fantasy. Kasparov takes us through the great matches of his career, including legendary duels against both man (Grandmaster Anatoly Karpov) and machine (IBM chess supercomputer Deep Blue), enhancing the lessons of his many experiences with examples from politics, literature, sports and military history. With candor, wisdom, and humor, Kasparov recounts his victories and his blunders, both from his years as a world-class competitor as well as his new life as a political leader in Russia. An inspiring book that combines unique strategic insight with personal memoir, How Life Imitates Chess is a glimpse inside the mind of one of today's greatest and most innovative thinkers.

The Mathematical Corporation

The Mathematical Corporation Author Josh Sullivan
ISBN-10 9781610397896
Year 2017-06-06
Pages 304
Language en
Publisher Hachette UK
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The most powerful weapon in business today is the alliance between the mathematical smarts of machines and the imaginative human intellect of great leaders. Together they make the mathematical corporation, the business model of the future. We are at a once-in-a-decade breaking point similar to the quality revolution of the 1980s and the dawn of the internet age in the 1990s: leaders must transform how they run their organizations, or competitors will bring them crashing to earth--often overnight. Mathematical corporations--the organizations that will master the future--will outcompete high-flying rivals by merging the best of human ingenuity with machine intelligence. While smart machines are weapon number one for organizations, leaders are still the drivers of breakthroughs. Only they can ask crucial questions to capitalize on business opportunities newly discovered in oceans of data. This dynamic combination will make possible the fulfillment of missions that once seemed out of reach, even impossible to attain. Josh Sullivan and Angela Zutavern's extraordinary examples include the entrepreneur who upended preventive health care, the oceanographer who transformed fisheries management, and the pharmaceutical company that used algorithm-driven optimization to boost vaccine yields. Together they offer a profoundly optimistic vision for a dazzling new phase in business, and a playbook for how smart companies can manage the essential combination of human and machine.

Behind Deep Blue

Behind Deep Blue Author Feng-hsiung Hsu
ISBN-10 0691090653
Year 2002
Pages 298
Language en
Publisher Princeton University Press
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"Behind Deep Blue" is not just another tale of man versus machine. This fascinating book tells how man as genius (chess champion Gary Kasparov) was given an ultimate, unforgettable run for his mind--not by the genius of a computer, but of man as toolmaker.

MATLAB Deep Learning

MATLAB Deep Learning Author Phil Kim
ISBN-10 9781484228456
Year 2017-06-15
Pages 151
Language en
Publisher Apress
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Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep learning Discover neural networks and multi-layer neural networks Work with convolution and pooling layers Build a MNIST example with these layers Who This Book Is For Those who want to learn deep learning using MATLAB. Some MATLAB experience may be useful.

AI

AI Author Margaret A. Boden
ISBN-10 9780198777984
Year 2016-05-26
Pages 202
Language en
Publisher Oxford University Press
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The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible.

Snuffing Out the Moon

Snuffing Out the Moon Author Osama Siddique
ISBN-10 9789386651556
Year 2017-07-17
Pages 400
Language en
Publisher Penguin Random House India Private Limited
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2084 BCE: In the great city of Mohenjodaro, along the banks of the Indus, a young man named Prkaa grows increasingly mistrustful of the growing authority of a cult of priests. 455 CE: In the fabled university city of Takshasilla, Buddhamitra, a monk, is distressed by how his colleagues seem to have lost sight of the essence of the Buddha's message of compassion. 1620 CE: During the reign of the Mughal emperor Jahangir, a pair of itinerant fortune-seekers endeavour to swindle the patrician elite, only to find themselves utterly disillusioned. 1857 CE: Mirza Sahib, a wandering minstrel, traverses the realms of human deception even as a rebellion against the British Raj is advancing across India. 2009 CE: In contemporary Lahore, the widow Rafiya Begum navigates legal complexities in order to secure her rights and fend off predatory charlatans. 2084 CE: A scholar revisits the known history of the cataclysmic events that led to world-domination by ruthless international water conglomerates. Across epochs and civilizations, these are intensely personal journeys that investigate the legitimacy of religion and authority, and chronicle the ascent of dissent.

Time Series Prediction and Applications

Time Series Prediction and Applications Author Amit Konar
ISBN-10 9783319545974
Year 2017-04-23
Pages 242
Language en
Publisher Springer
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This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at the end of each chapter to the readers’ ability and understanding of the topics covered.

Artificial Intelligence

Artificial Intelligence Author Fellow the Stanford Center for Legal Informatics Jerry Kaplan
ISBN-10 9780190602383
Year 2016-01-25
Pages 192
Language en
Publisher Oxford University Press
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Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.

The Emotion Machine

The Emotion Machine Author Marvin Minsky
ISBN-10 9781416579304
Year 2007-11-13
Pages 400
Language en
Publisher Simon and Schuster
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In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are. Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.