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How to grow a robot: : developing human-friendly, social AI / [electronic resource]
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Lee, Mark H., author. |
| 서명/저자사항 | How to grow a robot: :developing human-friendly, social AI /Mark Lee.[electronic resource] |
| 발행사항 | Cambridge : The MIT Press, 2020. |
| 형태사항 | 1 online resource. |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 0262357852 9780262357852 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Intro -- Contents -- Preface -- Acknowledgments -- I. What's Wrong with Artificial Intelligence? -- 1. The Nature of the Problem -- Acting and Thinking -- The Social Robot -- The Role of Artificial Intelligence -- Intelligence in General -- Brains Need Bodies -- The Structure and Theme of This Book -- Coping with the Pace of Change -- A Note on Jargon -- 2. Commercial Robots -- Domestic Robots and Service Robots -- Field Robotics -- Robotic Road Vehicles -- Medical Robots -- Swarm Robotics -- Entertainment Robots -- Companion Robots -- Humanlike Robots? -- Observations 3. From Research Bench to Market -- Bin Picking -- Biorobotics -- Care and Assistive Robots -- Affective Computing -- Humanoid Robots -- Why Has Industrial Robotics Been So Successful? -- The Current State of Robotics -- Observations -- 4. A Tale of Brute Force -- Searching through the Options -- The World Chess Champion Is a Computer-So What? -- Computer ""Thinking'' -- The Outcome -- Observations -- 5. Knowledge versus Power -- How Can Knowledge Be Stored for Utilization? -- Common Sense Knowledge -- Search Is a Standard Technique -- Symbols and Numbers -- Learning to Improve Feature Engineering -- Observations -- 6. A Little Vision and a Major Breakthrough -- The End of Feature Engineering -- What Happened? -- Observations -- 7. The Rise of the Learning Machines -- The Evolution of Machine Learning -- Data Mining in Supermarkets -- Learning Algorithms That Learn Algorithms -- Discovering Patterns -- Big Data -- Statistics Is Important, but Misunderstood -- The Revolution Continues-with Deep Zero -- Observations -- 8. Deep Thought and Other Oracles -- AI Is a Highly Focused Business -- Task-Based AI -- Machine Oracles -- Knowledge Engineering -- Social Conversation Observations -- 9. Building Giant Brains -- Brain-Building Projects -- Whole Brain Emulation (WBE) -- The Brain Is a Machine-So What? -- Basic Artificial Neural Networks (ANNs) -- Different Approaches: AI and Brain Science -- More Advanced Networks -- Predictive Coding and Autoencoders -- Issues with ANNs -- Simulation Problems for Robots -- Observations -- 10. Bolting It All Together -- The Complexity of Modular Interactions -- How Can Computers Represent What They Know and Experience? -- The Limitations of Task-Based AI -- General AI -- Master Algorithms -- Biological Comparisons Superintelligence (SI) -- Integrating Deep Artificial NeuralNetworks (ANNs) -- Observations for Part I -- II. Robots That Grow and Develop -- 11. Groundwork-Synthesis, Grounding, and Authenticity -- The Classical Cybernetics Movement -- Modern Cybernetics -- Symbol Grounding -- The New Robotics -- Observations -- 12. The Developmental Approach-Grow Your Own Robot -- The Role of Ontogeny: Growing Robots -- Sequences, Stages, and Timelines -- Constraints on Development -- Start Small and Start Early -- The Importance of Anatomy -- The Amazing Complexity of the Human Body -- Autonomy and Motivation |
| 요약 | "Mark Lee considers that the current gains in machine learning and deep learning will not produce robots that can interact effectively with humans. The book then explores how robots can become more human-like, more general-purpose, and more social. The book introduces us to the core ideas in Developmental Robotics - showing how this new approach can "grow" robots through (their own) experience rather than building them from design. Original aspects include demonstrating that social robots must be embodied, that embodiment will be necessary for general artificial intelligence, and that threats from advanced technology are not inevitable but avoidable by involving human, social, and ethical issues. The material covers a wide scope; from simple robots to advanced AI. This gives an overview of this area and an appreciation of the main advances, problems, and issues. The scope if the readership is intended to be wide: aimed at a general, educated but not specialist audience. For this reason, an engineering viewpoint is adopted; technical details and philosophical aspects are minimized, thus promoting a practical perspective. The aim is to present the fundamental ideas behind AI and robotics in a clear, accessible form, appealing to common sense, so as to encourage the general reader to build their own informed assessment of these technologies. The hope is to reach a wide public readership - reaching anyone who wishes to know what robotics is about, where it is going, and what its limitations are"-- |
| 일반주제명 | Robots -- Control systems. Robots -- Social aspects. Machine learning. Artificial intelligence -- Forecasting. Human-computer interaction. Artificial intelligence -- Forecasting. Human-computer interaction. Machine learning. Robots -- Control systems. Robots -- Social aspects. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Lee, Mark H.How to grow a robot.Cambridge : The MIT Press, 20209780262043731 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2437599 |
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