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Title The Quest for Artificial Intelligence
Author Nils J. Nilsson
Publisher Cambridge University Press
Release Date 2009-10-30
Category Computers
Total Pages 86
ISBN 9781139642828
Language English, Spanish, and French
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Book Summary:

Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.

Artificial Intelligence by Nils J. Nilsson

Title Artificial Intelligence
Author Nils J. Nilsson
Publisher Morgan Kaufmann
Release Date 1998
Category Computers
Total Pages 513
ISBN 9781558605350
Language English, Spanish, and French
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Book Summary:

This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.

Thinking Machines by Luke Dormehl

Title Thinking Machines
Author Luke Dormehl
Publisher Penguin
Release Date 2017-03-07
Category Computers
Total Pages 288
ISBN 9781524704414
Language English, Spanish, and French
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Book Summary:

A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.

Title The Quest for Artificial Intelligence
Author Nils J. Nilsson
Publisher Unknown
Release Date 2010
Category Artificial intelligence
Total Pages 562
ISBN 1139635530
Language English, Spanish, and French
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Book Summary:

Title Common Sense the Turing Test and the Quest for Real AI
Author Hector J. Levesque
Publisher Mit Press
Release Date 2018-03-09
Category Computers
Total Pages 172
ISBN 9780262535205
Language English, Spanish, and French
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Book Summary:

What artificial intelligence can tell us about the mind and intelligent behavior. What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It's a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to "good old fashioned artificial intelligence," which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns--as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk. Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence--the Winograd Schema Test, developed by Levesque and his colleagues. "If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it," he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.

Artificial Psychology by Jay Friedenberg

Title Artificial Psychology
Author Jay Friedenberg
Publisher Psychology Press
Release Date 2010-10-18
Category Psychology
Total Pages 312
ISBN 9781136873881
Language English, Spanish, and French
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Book Summary:

Is it possible to construct an artificial person? Researchers in the field of artificial intelligence have for decades been developing computer programs that emulate human intelligence. This book goes beyond intelligence and describes how close we are to recreating many of the other capacities that make us human. These abilities include learning, creativity, consciousness, and emotion. The attempt to understand and engineer these abilities constitutes the new interdisciplinary field of artificial psychology, which is characterized by contributions from philosophy, cognitive psychology, neuroscience, computer science, and robotics. This work is intended for use as a main or supplementary introductory textbook for a course in cognitive psychology, cognitive science, artificial intelligence, or the philosophy of mind. It examines human abilities as operating requirements that an artificial person must have and analyzes them from a multidisciplinary approach. The book is comprehensive in scope, covering traditional topics like perception, memory, and problem solving. However, it also describes recent advances in the study of free will, ethical behavior, affective architectures, social robots, and hybrid human-machine societies.

Artificial Intelligence by Richard Urwin

Title Artificial Intelligence
Author Richard Urwin
Publisher Arcturus Publishing
Release Date 2016-03-21
Category Computers
Total Pages 86
ISBN 9781784281908
Language English, Spanish, and French
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Book Summary:

What is Artificial Intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin bases his assessment of AI on the definition of AI as a tool that is 'constructed to aid or substitute for human thought'. He explains how AI came about, the importance of the development of the computer and then examines how AI has developed over the years through the construction of computer programs and how the language used to construct these programs has become more and more sophisticated, thus allowing AI to become better and better. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, learn about Fuzzy Logic and the ups and downs of computer programming, as well as finding out how research into brain function is continually influencing the field of AI. By turns fascinating and scary, Artificial Intelligence will take the reader on an amazing journey that covers everything from the habits of ants to the world of the stock market.

Artificial Intelligence by Melanie Mitchell

Title Artificial Intelligence
Author Melanie Mitchell
Publisher Farrar, Straus and Giroux
Release Date 2019-10-15
Category Computers
Total Pages 336
ISBN 9780374715236
Language English, Spanish, and French
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Book Summary:

Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

The Master Algorithm by Pedro Domingos

Title The Master Algorithm
Author Pedro Domingos
Publisher Basic Books
Release Date 2015-09-22
Category Business & Economics
Total Pages 352
ISBN 9780465061921
Language English, Spanish, and French
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Book Summary:

A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

Title Into the Heart of the Mind
Author Frank Rose
Publisher Frank Rose
Release Date 1985
Category Science
Total Pages 209
ISBN 039474103X
Language English, Spanish, and French
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Book Summary:

A team of computer scientists, working at the engineering school of the University of California at Berkeley to create Artificial Intelligence, documents their struggle to reach an impossible goal and the controversies over their work

Qi by Kevin Warwick

Title QI
Author Kevin Warwick
Publisher Piatkus Books
Release Date 2000
Category Animal intelligence
Total Pages 231
ISBN STANFORD:36105025020913
Language English, Spanish, and French
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Book Summary:

Dr. Kevin Warwick warns us that robots and machine intelligence pose an enormous threat to mankind. He is deeply critical of techniques used to measure human intelligence, in particular IQ tests. He believes these are both flawed and outdated. He has developed an entirely new theory, which proposes a universal view of intelligence, within which human, animal and even artificial intelligence are united for the first time.

Life 3 0 by Max Tegmark

Title Life 3 0
Author Max Tegmark
Publisher Vintage
Release Date 2017-08-29
Category Technology & Engineering
Total Pages 384
ISBN 9781101946602
Language English, Spanish, and French
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Book Summary:

New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

Title Memory Based Language Processing
Author Walter Daelemans
Publisher Cambridge University Press
Release Date 2005-09-01
Category Language Arts & Disciplines
Total Pages 86
ISBN 1139445367
Language English, Spanish, and French
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Book Summary:

Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.

Title Artificial Intelligence in Practice
Author Bernard Marr
Publisher John Wiley & Sons
Release Date 2019-04-15
Category Business & Economics
Total Pages 352
ISBN 9781119548980
Language English, Spanish, and French
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Book Summary:

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Dreams by H. R. Ekbia

Title Artificial Dreams
Author H. R. Ekbia
Publisher Cambridge University Press
Release Date 2008-04-21
Category Psychology
Total Pages 416
ISBN 0521703395
Language English, Spanish, and French
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Book Summary:

This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science - it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those "AI dreams" that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.

Ai by Daniel Crevier

Title Ai
Author Daniel Crevier
Publisher Unknown
Release Date 1993-05-18
Category Computers
Total Pages 386
ISBN UOM:39015031792255
Language English, Spanish, and French
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Book Summary:

Traces the successes and failures of the group of scientists who began research on artificial intelligence, and offers ideas on what future research will achieve

Algorithms Are Not Enough by Herbert L. Roitblat

Title Algorithms Are Not Enough
Author Herbert L. Roitblat
Publisher Unknown
Release Date 2020
Category Artificial intelligence
Total Pages 336
ISBN 9780262044127
Language English, Spanish, and French
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Book Summary:

"The holy grail of artificial intelligence research has been the achievement of artificial general intelligence. Since the inception of artificial intelligence, machines that can perform any task that a human might have been predicted to be imminent. Some people have been enthusiastic about this prospect, but others have been terrified. Both have been disappointed. In fact, despite all of the progress in solving individual tasks, this research has not been on a road that could ever lead to general intelligence. To paraphrase the Ancient Greek poet, Archilochus, we have been building hedgehogs, when what we are after is a Fox. The fox, he said, knows many things, but the hedgehog knows one big thing. Even a stack of hedgehogs, however, cannot duplicate the intelligence of a fox. This book describes a roadmap for designing a generally intelligent fox that solves the problem of general intelligence. It brings to bear wide swaths of cognitive science, including psychology, philosophy, and history to debunk the barriers to general intelligence by identifying the essential features of intelligence that would be needed to achieve general artificial intelligence. Along the way, it makes it apparent that fears of an imminent explosion of uncontrollable computational intelligence (the so-called "singularity,") are completely unfounded"--

Title Principles of Artificial Intelligence
Author Nils J. Nilsson
Publisher Springer Science & Business Media
Release Date 1982-05-01
Category Computers
Total Pages 476
ISBN 3540113401
Language English, Spanish, and French
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Book Summary:

Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.

The Foundations Of Artificial Intelligence by Professor Derek Partridge

Title The Foundations of Artificial Intelligence
Author Professor Derek Partridge
Publisher Cambridge University Press
Release Date 1990-04-26
Category Computers
Total Pages 498
ISBN 0521359449
Language English, Spanish, and French
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Book Summary:

This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Machines Of Loving Grace by John Markoff

Title Machines of Loving Grace
Author John Markoff
Publisher HarperCollins
Release Date 2015-08-25
Category History
Total Pages 400
ISBN 9780062266705
Language English, Spanish, and French
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Book Summary:

As robots are increasingly integrated into modern society—on the battlefield and the road, in business, education, and health—Pulitzer-Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: will these machines help us, or will they replace us? In the past decade alone, Google introduced us to driverless cars, Apple debuted a personal assistant that we keep in our pockets, and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the internet. There is little doubt that robots are now an integral part of society, and cheap sensors and powerful computers will ensure that, in the coming years, these robots will soon act on their own. This new era offers the promise of immense computing power, but it also reframes a question first raised more than half a century ago, at the birth of the intelligent machine: Will we control these systems, or will they control us? In Machines of Loving Grace, New York Times reporter John Markoff, the first reporter to cover the World Wide Web, offers a sweeping history of the complicated and evolving relationship between humans and computers. Over the recent years, the pace of technological change has accelerated dramatically, reintroducing this difficult ethical quandary with newer and far weightier consequences. As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s, to the modern day brain trusts at Google and Apple in Silicon Valley, and on to the expanding tech corridor between Boston and New York, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the verge of a technological revolution, Markoff argues, and robots will profoundly transform the way our lives are organized. Developers must now draw a bright line between what is human and what is machine, or risk upsetting the delicate balance between them.