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Ai And Common Sense
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Book Synopsis Common Sense, the Turing Test, and the Quest for Real AI by : Hector J. Levesque
Download or read book Common Sense, the Turing Test, and the Quest for Real AI written by Hector J. Levesque and published by MIT Press. This book was released on 2017 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: What kind of AI? -- The big puzzle -- Knowledge and behavior -- Making it and faking it -- Learning with and without experience -- Book smarts and street smarts -- The long tail and the limits to training -- Symbols and symbol processing -- Knowledge-based systems -- AI technology
Book Synopsis Machines like Us by : Ronald J. Brachman
Download or read book Machines like Us written by Ronald J. Brachman and published by MIT Press. This book was released on 2022-05-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.
Book Synopsis AI and Common Sense by : Martin W. Bauer
Download or read book AI and Common Sense written by Martin W. Bauer and published by Taylor & Francis. This book was released on 2024-06-28 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we? Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production. A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.
Book Synopsis Formalizing Common Sense by : John McCarthy
Download or read book Formalizing Common Sense written by John McCarthy and published by Intellect L & D E F A E. This book was released on 1998 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists.
Book Synopsis Think for Yourself by : Vikram Mansharamani
Download or read book Think for Yourself written by Vikram Mansharamani and published by Harvard Business Press. This book was released on 2020-06-16 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: We've outsourced too much of our thinking. How do we get it back? Have you ever followed your GPS device to a deserted parking lot? Or unquestioningly followed the advice of an expert—perhaps a doctor or financial adviser—only to learn later that your own thoughts and doubts were correct? And what about the stories we've all heard over the years about sick patients—whether infected with Ebola or COVID-19—who were sent home or allowed to travel because busy staff people were following a protocol to the letter rather than using common sense? Why and how do these kinds of things happen? As Harvard lecturer and global trend watcher Vikram Mansharamani shows in this eye-opening and perspective-shifting book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. Too often, we've stopped thinking for ourselves. With stark and compelling examples drawn from business, sports, and everyday life, Mansharamani illustrates how in a very real sense we have outsourced our thinking to a troubling degree, relinquishing our autonomy. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively, harnessing the value they provide without undermining our ability to think for ourselves. The author provides principles and techniques for doing just that, empowering readers with a more critical and nuanced approach to making decisions. Think for Yourself is an indispensable guide for those looking to restore self-reliant thinking in a data-driven and technology-dependent yet overwhelmingly uncertain world.
Book Synopsis Commonsense Reasoning by : Erik T. Mueller
Download or read book Commonsense Reasoning written by Erik T. Mueller and published by Elsevier. This book was released on 2010-07-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. - Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. - The first full book on commonsense reasoning to use the event calculus. - Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. - Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. - Includes fully worked out proofs and circumscriptions for every example.
Book Synopsis Artificial Intelligence by : Melanie Mitchell
Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Emotion Machine by : Marvin Minsky
Download or read book The Emotion Machine written by Marvin Minsky and published by Simon and Schuster. This book was released on 2007-11-13 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Toys Go Out written by Emily Jenkins and published by Schwartz & Wade. This book was released on 2008-12-18 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A bit like the great movie Toy Story and a bit like the wonderful Kate DiCamillo book The Miraculous Journey of Edward Tulane. This is a great family book.” —The Washington Post Here is the first book in the highly acclaimed Toys trilogy, which includes the companion books Toy Dance Party and Toys Come Home and chronicles the unforgettable adventures of three brave and loving toys. In these six linked stories from Emily Jenkins, and illustrated by Caldecott Medal winner Paul O. Zelinsky, readers will meet three extraordinary friends. Lumphy is a stuffed buffalo. StingRay is a stuffed stingray. And Plastic... well, Plastic isn't quite sure what she is. They all belong to the Little Girl who lives on the high bed with the fluffy pillows. A very nice person to belong to. Together is best for these three best friends. Together they look things up in the dictionary, explore the basement, and argue about the meaning of life. And together they face dogs, school, television commercials, the vastness of the sea, and the terrifying bigness of the washing machine. A Parents' Choice Silver Honor Winner, an ALA-ALSC Notable Children's Book, and an Oppenheim Toy Portfolio Platinum Book Award Winner, Toys Go Out is truly a modern classic.
Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2019-09-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson
Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.
Book Synopsis Common Sense, Reasoning, & Rationality by : Renée Elio
Download or read book Common Sense, Reasoning, & Rationality written by Renée Elio and published by Oxford University Press, USA. This book was released on 2002 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: While common sense and rationality have often been viewed as two distinct features in a unified cognitive map, this volume engages with this notion and comes up with novel and often paradoxical views of this relationship.
Book Synopsis Architects of Intelligence by : Martin Ford
Download or read book Architects of Intelligence written by Martin Ford and published by Packt Publishing Ltd. This book was released on 2018-11-23 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.
Download or read book The Giver written by Lois Lowry and published by Houghton Mifflin Harcourt. This book was released on 2014 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Giver, the 1994 Newbery Medal winner, has become one of the most influential novels of our time. The haunting story centers on twelve-year-old Jonas, who lives in a seemingly ideal, if colorless, world of conformity and contentment. Not until he is given his life assignment as the Receiver of Memory does he begin to understand the dark, complex secrets behind his fragile community. This movie tie-in edition features cover art from the movie and exclusive Q&A with members of the cast, including Taylor Swift, Brenton Thwaites and Cameron Monaghan.
Book Synopsis Advances in Data Science and Management by : Samarjeet Borah
Download or read book Advances in Data Science and Management written by Samarjeet Borah and published by Springer Nature. This book was released on 2020-01-13 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
Book Synopsis Philosophical Logic and Artificial Intelligence by : Richmond H. Thomason
Download or read book Philosophical Logic and Artificial Intelligence written by Richmond H. Thomason and published by Springer. This book was released on 1989-08-31 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: cians concerned with using logical tools in philosophy have been keenly aware of the limitations that arise from the original con centration of symbolic logic on the idiom of mathematics, and many of them have worked to create extensions of the received logical theories that would make them more generally applicable in philosophy. Carnap's Testability and Meaning, published in 1936 and 1937, was a good early example of this sort of research, motivated by the inadequacy of first-order formalizations of dis 'This sugar cube is soluble in water'. positional sentences like And in fact there is a continuous history of work on this topic, extending from Carnap's paper to Shoham's contribution to the present volume . . Much of the work in philosophical logic, and much of what has appeared in The Journal of Philosophical Logic, was mo tivated by similar considerations: work in modal logic (includ ing tense, deontic, and epistemic logic), intensional logics, non declaratives, presuppositions, and many other topics. In this sort of research, sin.ce the main point is to devise new formalisms, the technical development tends to be rather shallow in comparison with mathematical logic, though it is sel dom absent: theorems need to be proved in order to justify the formalisms, and sometimes these are nontrivial. On the other hand, much effort has to go into motivating a logical innovation.
Book Synopsis Artificial Intelligence Commonsense Knowledge by : Fouad Sabry
Download or read book Artificial Intelligence Commonsense Knowledge written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Artificial Intelligence Commonsense Knowledge In the field of artificial intelligence research, "commonsense knowledge" refers to truths about the real world, such as "Lemons are sour" or "Cows say moo," that are considered to be assumed to be known by every human being. It is a challenge that has not yet been resolved in the field of Artificial General Intelligence. Advice Taker, created in 1959 by John McCarthy, was the first artificial intelligence program to address common sense information. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Commonsense knowledge (artificial intelligence) Chapter 2: Artificial intelligence Chapter 3: Knowledge representation and reasoning Chapter 4: Symbolic artificial intelligence Chapter 5: Commonsense reasoning Chapter 6: Logic in computer science Chapter 7: Computational intelligence Chapter 8: Frame (artificial intelligence) Chapter 9: Explainable artificial intelligence Chapter 10: Glossary of artificial intelligence (II) Answering the public top questions about artificial intelligence commonsense knowledge. (III) Real world examples for the usage of artificial intelligence commonsense knowledge in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence commonsense knowledge' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence commonsense knowledge.
