Human Level Artificial Intelligence
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Toward Human Level Artificial Intelligence
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Author : Philip C. Jackson, Jr
language : en
Publisher: Courier Dover Publications
Release Date : 2019-11-13
Toward Human Level Artificial Intelligence written by Philip C. Jackson, Jr and has been published by Courier Dover Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Mathematics categories.
How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity.
Human Level Artificial Intelligence
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Author : Mitchell Kwok
language : en
Publisher: M. Kwok
Release Date : 2006-01-01
Human Level Artificial Intelligence written by Mitchell Kwok and has been published by M. Kwok this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Artificial intelligence categories.
The Universal Artificial Intelligence program is an AI software that can play a videogame in the most optimal way possible. The UAI program serves as the foundation for all learning machines and has a bootstrapping process to keep old information and use the old information to learn new information. This AI program can play all games for any videogame console including X-box 360, Playstation 2, Gameboy advance, P2P and other console based systems. Although there are many integrated components that make up the UAI program, the complexity of the technology is explained to the readers in a basic way without the traditional jargon of computer science. Most of the chapters will concentrate on the three parts of the program which are: storing information, retrieving information and modifying information. The function of the UAI program is to pursue pathways that lead to pleasure and stay away from pathways that lead to pain. In terms of the videogame, the AI will play the game by accomplishing the objective of the game with the highest score possible. The readers should be aware that the computer program has not been proven through math or science and that the author created this technology based on scientific analysis.
Theoretical Foundations Of Artificial General Intelligence
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Author : Pei Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-31
Theoretical Foundations Of Artificial General Intelligence written by Pei Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-31 with Computers categories.
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
From Robots To Reasoning
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-04-25
From Robots To Reasoning written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with Computers categories.
Unleash the Power of Artificial General Intelligence: Demystifying the Learning Landscape, Exploring Societal Impact, and Envisioning the Future Are you intrigued by the possibility of machines that can think and learn like humans? Dive into the captivating world of Artificial General Intelligence (AGI) with this comprehensive guide. This book unveils the different machine learning paradigms that hold the key to achieving AGI, explores the potential impact of AGI on society, and provides a glimpse into the exciting future that lies ahead. Demystifying the Learning Landscape: Embark on a journey through the diverse machine learning paradigms – supervised learning, unsupervised learning, and reinforcement learning – and grasp their unique strengths in empowering machines to learn from data. Delve into the fascinating world of Deep Learning, exploring the power of Artificial Neural Networks (ANNs) like Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) for sequential data, and Generative Adversarial Networks (GANs) for data generation. Discover how Symbolic AI, with its focus on logic and knowledge representation, complements Deep Learning, paving the way for more robust and versatile intelligent systems. Exploring the Societal Impact: Uncover the potential benefits of AGI for scientific discovery, technological advancement, and revolutionizing various fields like medicine, materials science, and energy exploration. Consider the impact of AGI on the future of work, exploring the potential for job displacement alongside the emergence of new opportunities for human-machine collaboration. Grapple with the ethical considerations surrounding AGI, including ensuring fairness in decision-making, control and ownership of powerful AI systems, and developing robust frameworks for responsible AI development. Envisioning the Future: Explore the ongoing challenges in the quest for AGI, such as achieving true generality and the intriguing question of artificial consciousness. Witness the potential for AGI to collaborate with humans on complex endeavors, leading to breakthroughs in healthcare, sustainable energy, and environmental protection. Understand the importance of a multidisciplinary approach and international collaboration in navigating the ethical and societal implications of AGI. This book is your gateway to understanding AGI – its potential, its challenges, and its exciting possibilities for the future. Whether you're a student, a researcher, or simply curious about the future of artificial intelligence, this book equips you with the knowledge to engage in informed discussions and prepare for the transformative impact of AGI on our world.
Toward Human Level Artificial Intelligence
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Author : Eitan Michael Azoff
language : en
Publisher: CRC Press
Release Date : 2024-09-18
Toward Human Level Artificial Intelligence written by Eitan Michael Azoff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.
Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book’s mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence. Diffuse decision making by ensembles of neurons. The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn). A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning. The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.
On Cognitive Aspects Of Human Level Artificial Intelligence
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Author : Tarek R. Besold
language : en
Publisher:
Release Date : 2014
On Cognitive Aspects Of Human Level Artificial Intelligence written by Tarek R. Besold and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Towards Human Level Artificial Intelligence
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Author : Eitan Michael Azoff
language : en
Publisher:
Release Date : 2024-10-02
Towards Human Level Artificial Intelligence written by Eitan Michael Azoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Computers categories.
This book serves a dual purpose: first, offering a comprehensive survey of neuroscience and AI research pertinent to advancing towards human-level AI (HLAI), presenting key ideas and references for further exploration; second, it synthesizing these concepts to propose strategies for achieving HLAI.
Artificial Intelligence A New Synthesis
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Author : Nils J. Nilsson
language : en
Publisher: Elsevier
Release Date : 1998-04-17
Artificial Intelligence A New Synthesis written by Nils J. Nilsson and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-17 with Computers categories.
Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index
Artificial Intelligence Future Final
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Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2020-08
Artificial Intelligence Future Final written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08 with categories.
(AI) brain test experimentWhen there is an intuitive sense that (AI) programs/brains today are more capable than those of age, and that those were considerably " smarter" than the serial instructions that passed through the first supercomputers. Scientists will carry on testing (AI) to do any experiments to improve (AI) brain development. They will assess the progress of artificial (general) intelligence, but the need for intelligence tests and tests for other cognitive abilities will be tested in the forthcoming decades for bots, robots, avators, " animats" etc. and any collective system of these and biological systems ( humans and non-human animals).When (AI) brain technology is invented successfully, the idea of a super intelligent computer means invention successfully also. Whether super intelligent computer or (AI) brain can be invented successfully. Similarly, many think that the future beyond the technological singularity is unknowable or even unimaginable. Since its conception, the idea has been examined and explored by technologists. (AI) brain invention will be mean human-equivalent (AI) vs human-level(AI). Many machine intelligence tests is the exclusive focus on identifying systems that achieve human equivalence. Considering our experience with studying non-human animal intelligence. The need to distinguish human equivalent (AI) from human level (AI) seems critical. Perfect human intelligence , such as (AI) brain invention is likely to be extremely difficult to achieve. Potentially every aspect of the biological processes involved would need to be translated with very high fidelity.Human level (AI), such as (AI) brain invention is another matter. Achieving capabilities that are equivalent to those of the human mind could be very feasible if it is not limited to perfectly processes involves. For instance, some pattern recognition algorithms are already superior to human abilities. This machine ability is not achieved by duplicating the processes our brains use, through some of the methods have been inspired by them. If researchers had been limited to replicating the brain's mind processes, We would still be waiting for the development of a (AI) brain machine equivalent.Tests that would seen to have a reasonable chance of successfully testing non-human intelligence are those that use mathematics to define the value of a given challenges for (AI) brain invention. Such as Capability-test has some potential to generate meaningful data about (AI) machine intelligence, e.g. others in complexity theory test, it presents a series of abduction and prediction problems, similar to those in standard IQ tests to (AI) brain. Hence, IQ test and C-test will be potential tests to test (AI) brain ability.(AI) brain test goals include that to identify a range of possible types of mind such as: super-fast human mind, mind with operational access to its source code, any mind capable of general intelligence and self awareness, general intelligence without self-awareness, self-awareness without general intelligence, super-logic , machine without emotion, mind capable of imaging greater mind or creating greater mind to compare human's brain abilities. Thus, any IQ or Capability test experiments aim to evaluate whether (AI) brain mind ability which can exceed to human brain mind ability. Thus, if future one day, scientists could prove (AI) brain mind ability can exceed to human brain mind ability. Then, they believe (AI) brain invention has ensured to achieve success.3.8.1(AI) brain invention successful factors
Artificial General Intelligence
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Author : Bas Steunebrink
language : en
Publisher: Springer
Release Date : 2016-06-24
Artificial General Intelligence written by Bas Steunebrink and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-24 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016. The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense.