Artificial General Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3540686770
Total Pages : 518 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Artificial General Intelligence by : Ben Goertzel

Download or read book Artificial General Intelligence written by Ben Goertzel and published by Springer Science & Business Media. This book was released on 2007-01-17 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine . . . The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack. . . . We have got to get back to the deepest questions of AI and general intelligence. . . ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal in creating this edited volume has been to ?ll an apparent gap in the scienti?c literature, by providing a coherent presentation of a body of contemporary research that, in spite of its integral importance, has hitherto kept a very low pro?le within the scienti?c and intellectual community. This body of work has not been given a name before; in this book we christen it “Arti?cial General Intelligence” (AGI). What distinguishes AGI work from run-of-the-mill “arti?cial intelligence” research is that it is explicitly focused on engineering general intelligence in the short term. We have been active researchers in the AGI ?eld for many years, and it has been a pleasure to gather together papers from our colleagues working on related ideas from their own perspectives. In the Introduction we give a conceptual overview of the AGI ?eld, and also summarize and interrelate the key ideas of the papers in the subsequent chapters.

Artificial General Intelligence 2008

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Publisher : IOS Press
ISBN 13 : 1607503093
Total Pages : 520 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis Artificial General Intelligence 2008 by : P. Wang

Download or read book Artificial General Intelligence 2008 written by P. Wang and published by IOS Press. This book was released on 2008-02-18 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficult issues involved in creating ‘human-level intelligence’, and ultimately general intelligence that goes beyond the human level in various ways. Artificial General Intelligence (AGI), as this renewed focus has come to be called, attempts to study and reproduce intelligence as a whole in a domain independent way. Encouraged by the recent success of several smaller-scale AGI-related meetings and special tracks at conferences, the initiative to organize the very first international conference on AGI was taken, with the goal to give researchers in the field an opportunity to present relevant research results and to exchange ideas on topics of common interest. In this collection you will find the conference papers: full-length papers, short position statements and also the papers presented in the post conference workshop on the sociocultural, ethical and futurological implications of AGI.

On Intelligence

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Publisher : Macmillan
ISBN 13 : 1429900458
Total Pages : 276 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis On Intelligence by : Jeff Hawkins

Download or read book On Intelligence written by Jeff Hawkins and published by Macmillan. This book was released on 2007-04-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

Advances in Artificial General Intelligence

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Publisher : IOS Press
ISBN 13 : 1586037587
Total Pages : 304 pages
Book Rating : 4.5/5 (86 download)

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Book Synopsis Advances in Artificial General Intelligence by : Ben Goertzel

Download or read book Advances in Artificial General Intelligence written by Ben Goertzel and published by IOS Press. This book was released on 2007 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.

Architects of Intelligence

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Publisher : Packt Publishing Ltd
ISBN 13 : 178913126X
Total Pages : 540 pages
Book Rating : 4.7/5 (891 download)

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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.

Toward Artificial General Intelligence

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111323749
Total Pages : 424 pages
Book Rating : 4.1/5 (113 download)

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Book Synopsis Toward Artificial General Intelligence by : Victor Hugo C. de Albuquerque

Download or read book Toward Artificial General Intelligence written by Victor Hugo C. de Albuquerque and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-11-06 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Trends and Innovations in Information Systems and Technologies

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Publisher : Springer Nature
ISBN 13 : 3030456919
Total Pages : 854 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Trends and Innovations in Information Systems and Technologies by : Álvaro Rocha

Download or read book Trends and Innovations in Information Systems and Technologies written by Álvaro Rocha and published by Springer Nature. This book was released on 2020-06-07 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 2020 World Conference on Information Systems and Technologies (WorldCIST’20), held in Budva, Montenegro, from April 7 to 10, 2020. WorldCIST provides a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences with and challenges regarding various aspects of modern information systems and technologies. The main topics covered are A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Advances in Artificial Intelligence and Applied Cognitive Computing

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Publisher : Springer Nature
ISBN 13 : 3030702960
Total Pages : 1152 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Artificial Intelligence and Applied Cognitive Computing by : Hamid R. Arabnia

Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Artificial Intelligence

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Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)

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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.

Theoretical Foundations of Artificial General Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 9491216627
Total Pages : 334 pages
Book Rating : 4.4/5 (912 download)

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Book Synopsis Theoretical Foundations of Artificial General Intelligence by : Pei Wang

Download or read book Theoretical Foundations of Artificial General Intelligence written by Pei Wang and published by Springer Science & Business Media. This book was released on 2012-08-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines

Machines like Us

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Publisher : MIT Press
ISBN 13 : 0262547325
Total Pages : 319 pages
Book Rating : 4.2/5 (625 download)

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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 2023-10-17 with total page 319 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.

Agi Revolution

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Publisher :
ISBN 13 : 9780692756874
Total Pages : 612 pages
Book Rating : 4.7/5 (568 download)

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Book Synopsis Agi Revolution by : Ben Goertzel

Download or read book Agi Revolution written by Ben Goertzel and published by . This book was released on 2016-07-16 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial General Intelligence (AGI) is the quest for the sci-fi AI dream: AI with mental autonomy, generality, adaptiveness and imagination equal to and ultimately exceeding that of humans. After decades of R&D struggles, the time for AGI is now finally near. Since the early aughts, Dr. Ben Goertzel has been the leading force advancing the concept of AGI in the research community and the public sphere. Here he gives an insider's account of the rise of AI and AGI from relative obscurity to their current status as the focus of large corporate and government initiatives. He presents his understanding of the operation of the human brain, and the viability of various approaches to AGI including his own OpenCog AGI project; and also describes his efforts to use AI to solve critical issues such as human aging. In Goertzel's vision, AGI will soon yield dramatic changes in every area of human life and society. Advanced AGIs that vastly exceed human intelligence will bring on a Technological Singularity, quite likely within our lifetimes.

The Myth of Artificial Intelligence

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Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 download)

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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.

Engineering General Intelligence, Part 1

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Author :
Publisher : Springer
ISBN 13 : 9462390274
Total Pages : 409 pages
Book Rating : 4.4/5 (623 download)

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Book Synopsis Engineering General Intelligence, Part 1 by : Ben Goertzel

Download or read book Engineering General Intelligence, Part 1 written by Ben Goertzel and published by Springer. This book was released on 2014-07-08 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work outlines a novel conceptual and theoretical framework for understanding Artificial General Intelligence and based on this framework outlines a practical roadmap for the development of AGI with capability at the human level and ultimately beyond.

AI Foundations of Artificial General Intelligence

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Author :
Publisher : Green Mountain Computing
ISBN 13 :
Total Pages : 181 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI Foundations of Artificial General Intelligence by : Jon Adams

Download or read book AI Foundations of Artificial General Intelligence written by Jon Adams and published by Green Mountain Computing. This book was released on with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the pioneering realm of Artificial General Intelligence with Jon Adams'sAI Foundations of Artificial General Intelligence (AGI), the first installment of the enlightening Foundations Of series. This groundbreaking book serves as a comprehensive guide to the evolving field of AI, offering a deep dive into the quest for Artificial General Intelligence (AGI) – a frontier of technology aiming to create machines that rival human intelligence in their versatility and creativity. Structured in a reader-friendly format, this book covers an impressive array of topics: The Genesis of AI: Explore the origins and evolution of artificial intelligence, setting the stage for a journey towards AGI. Understanding Machine Learning: Get to grips with the core concepts and techniques that fuel the growth of AI. Neural Networks and Deep Learning: Delve into the architectures that mimic the human brain's functionality. Cognitive Architectures – A Blueprint for AGI: Understand the frameworks designed to support the development of AGI. Narrow AI vs General AI: Learn about the differences between AI for specific tasks and the envisioned AGI capable of human-like reasoning. Defining Human-Like Intelligence: Investigate what it means for a machine to possess intelligence indistinguishable from humans. Computer Science Meets Neuroscience: Discover the intersection between computational models and the complexities of the human brain. Challenges in Replicating Human Thought: Examine the hurdles in simulating human cognitive processes. Toward the Future of AGI: Speculate on the potential directions and implications of achieving AGI. AGI and Human Identity – Redefining the Species: Reflect on how AGI could transform our understanding of human identity. Preempting Skynet – Safeguarding Against AGI Risks: Address the ethical considerations and safety measures in the development of AGI. AI Foundations of AGI is meticulously crafted for both novices and seasoned enthusiasts of artificial intelligence. Adams simplifies complex concepts without sacrificing depth, making advanced topics in AI and AGI accessible to all. This book not only sheds light on the technical aspects of AI development but also encourages readers to ponder the philosophical implications of creating machines with human-like intelligence. Whether you're a student, professional, or simply curious about the future of AI, this book offers valuable insights into the ambitious goal of achieving AGI. Join Jon Adams on a captivating exploration of AI's potential to redefine our world, armed with the knowledge and foresight to navigate the challenges and opportunities that lie ahead.

Artificial General Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3030521524
Total Pages : 382 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial General Intelligence by : Ben Goertzel

Download or read book Artificial General Intelligence written by Ben Goertzel and published by Springer Nature. This book was released on 2020-07-06 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Artificial General Intelligence, AGI 2020, held in St. Petersburg, Russia, in September 2020. The 30 full papers and 8 short papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover topics such as AGI architectures, artificial creativity and AI safety, transfer learning, AI unification and benchmarks for AGI.

Artificial General Intelligence

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Author :
Publisher : Springer
ISBN 13 : 3319637037
Total Pages : 274 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Artificial General Intelligence by : Tom Everitt

Download or read book Artificial General Intelligence written by Tom Everitt and published by Springer. This book was released on 2017-08-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Artificial General Intelligence, AGI 2017, held in Melbourne, VIC, Australia, in August 2017. The 24 regular papers presented in this book together with 1 short paper were carefully reviewed and selected from 35 submissions. They cover topics such as architectures; mathematical foundations; algorithms; safety; understanding; human cognition; and philosophy.