Ai Foundations Of Artificial General Intelligence

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Theoretical Foundations of Artificial General Intelligence

Author : Pei Wang
Publisher : Springer Science & Business Media
ISBN 13 : 9491216627
Total Pages : 332 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 332 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

AI Foundations of Artificial General Intelligence

Author : Jon Adams
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 Intelligence Foundations

Author : Andrew Lowe
Publisher : BCS, The Chartered Institute for IT
ISBN 13 : 9781780175287
Total Pages : 160 pages
Book Rating : 4.1/5 (752 download)

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Book Synopsis Artificial Intelligence Foundations by : Andrew Lowe

Download or read book Artificial Intelligence Foundations written by Andrew Lowe and published by BCS, The Chartered Institute for IT. This book was released on 2020-08-24 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: In line with the BCS AI Foundation and Essentials certificates, this book guides you through the world of AI. You will learn how AI is being utilised today, and how it is likely to be used in the future. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.

The Foundations of Artificial Intelligence

Author : Derek Partridge
Publisher : Cambridge University Press
ISBN 13 : 9780521359443
Total Pages : 516 pages
Book Rating : 4.3/5 (594 download)

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Book Synopsis The Foundations of Artificial Intelligence by : Derek Partridge

Download or read book The Foundations of Artificial Intelligence written by Derek Partridge and published by Cambridge University Press. This book was released on 1990-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Artificial General Intelligence

Author : Ben Goertzel
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

Author : P. Wang
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.

Handbook of Knowledge Representation

Author : Frank van Harmelen
Publisher : Elsevier
ISBN 13 : 0080557023
Total Pages : 1035 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1035 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Artificial Intelligence Basics

Author : Tom Taulli
Publisher : Apress
ISBN 13 : 1484250281
Total Pages : 195 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Artificial Intelligence Basics by : Tom Taulli

Download or read book Artificial Intelligence Basics written by Tom Taulli and published by Apress. This book was released on 2019-08-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

Artificial General Intelligence

Author : Ben Goertzel
Publisher : Springer Nature
ISBN 13 : 3030937585
Total Pages : 379 pages
Book Rating : 4.0/5 (39 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 2022-01-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021. The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of systems biology, goal generation, and learning systems, and so much more.

Fundamentals of Artificial Intelligence

Author : K.R. Chowdhary
Publisher : Springer Nature
ISBN 13 : 8132239725
Total Pages : 730 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Fundamentals of Artificial Intelligence by : K.R. Chowdhary

Download or read book Fundamentals of Artificial Intelligence written by K.R. Chowdhary and published by Springer Nature. This book was released on 2020-04-04 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.

Logical Foundations of Artificial Intelligence

Author : Michael R. Genesereth
Publisher : Morgan Kaufmann
ISBN 13 : 0128015543
Total Pages : 427 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Logical Foundations of Artificial Intelligence by : Michael R. Genesereth

Download or read book Logical Foundations of Artificial Intelligence written by Michael R. Genesereth and published by Morgan Kaufmann. This book was released on 2012-07-05 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.

Foundations of Artificial Intelligence

Author : David Kirsh
Publisher : MIT Press
ISBN 13 : 9780262610759
Total Pages : 370 pages
Book Rating : 4.6/5 (17 download)

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Book Synopsis Foundations of Artificial Intelligence by : David Kirsh

Download or read book Foundations of Artificial Intelligence written by David Kirsh and published by MIT Press. This book was released on 1992 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh - Logic and Artificial Intelligence, N. J. Nilsson - Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence, ' L. Birnbaum - Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt - Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser - Intelligence without Representation, R. A. Brooks - Today the Earwig, Tomorrow Man? D. Kirsh - On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum - The Owl and the Electric Encyclopedia, B. C. Smith - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl - Approaches to the Study of Intelligence, D. A. Norman

Artificial Intelligence

Author : David L. Poole
Publisher : Cambridge University Press
ISBN 13 : 110719539X
Total Pages : 821 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Artificial Intelligence by : David L. Poole

Download or read book Artificial Intelligence written by David L. Poole and published by Cambridge University Press. This book was released on 2017-09-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Artificial General Intelligence

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 93 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Artificial General Intelligence by : Fouad Sabry

Download or read book Artificial General Intelligence written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Artificial General Intelligence An artificial general intelligence, often known as an AGI, is a sort of intelligent agent that only exists in theory. The fundamental idea behind AGI is that it is capable of learning to carry out any intellectual endeavor that can be accomplished by humans or animals. Alternately, artificial general intelligence (AGI) has been characterized as a self-sufficient system that excels beyond that of humans in the majority of economically relevant jobs. The development of an artificial general intelligence (AGI) is one of the key objectives of some artificial intelligence research and firms like OpenAI, DeepMind, and Anthropic. The artificial general intelligence (AGI) is a popular concept in both science fiction and futurist studies. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial general intelligence Chapter 2: AI alignment Chapter 3: AI safety Chapter 4: Machine ethics Chapter 5: Multi-task learning Chapter 6: Intelligence amplification Chapter 7: Human Brain Project Chapter 8: Weak artificial intelligence Chapter 9: Artificial brain Chapter 10: Synthetic intelligence (II) Answering the public top questions about artificial general intelligence. (III) Real world examples for the usage of artificial general intelligence in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial general intelligence' 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 general intelligence.

Artificial General Intelligence

Author : Patrick Hammer
Publisher : Springer
ISBN 13 : 303027005X
Total Pages : 221 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial General Intelligence by : Patrick Hammer

Download or read book Artificial General Intelligence written by Patrick Hammer and published by Springer. This book was released on 2019-07-30 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Artificial General Intelligence, AGI 2019, held in Shenzhen, China, in August 2019. The 16 full papers and 5 poster papers presented in this book were carefully reviewed and selected from 30 submissions. The papers are covering AGI architectures, discussing mathematical foundations, philosophical foundations, safety and ethics, and developing ideas from neuroscience and cognitive science.

The Cambridge Handbook of Artificial Intelligence

Author : Keith Frankish
Publisher : Cambridge University Press
ISBN 13 : 1139991655
Total Pages : 367 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis The Cambridge Handbook of Artificial Intelligence by : Keith Frankish

Download or read book The Cambridge Handbook of Artificial Intelligence written by Keith Frankish and published by Cambridge University Press. This book was released on 2014-06-12 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

General Artificial Intelligence

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 155 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis General Artificial Intelligence by : Fouad Sabry

Download or read book General Artificial Intelligence written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-29 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is General Artificial Intelligence An artificial general intelligence, often known as an AGI, is a sort of intelligent agent that only exists in theory. The fundamental idea behind AGI is that it is capable of learning to carry out any intellectual endeavor that can be accomplished by humans or animals. Alternately, artificial general intelligence (AGI) has been characterized as a self-sufficient system that excels beyond that of humans in the majority of economically relevant jobs. The development of an artificial general intelligence (AGI) is one of the key objectives of some artificial intelligence research and firms like OpenAI, DeepMind, and Anthropic. The artificial general intelligence (AGI) is a popular concept in both science fiction and futurist studies. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial General Intelligence Chapter 2: Artificial Intelligence Chapter 3: History of Artificial Intelligence Chapter 4: Philosophy of Artificial Intelligence Chapter 5: Outline of Artificial Intelligence Chapter 6: Timeline of Artificial Intelligence Chapter 7: Artificial Brain Chapter 8: Weak Artificial Intelligence Chapter 9: AI Takeover Chapter 10: Existential Risk from Artificial General Intelligence (II) Answering the public top questions about general artificial intelligence. (III) Real world examples for the usage of general artificial intelligence in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of general artificial intelligence' 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 general artificial intelligence.