{"product_id":"mind-design-iii-isbn-9780262546577","title":"Mind Design III","description":"\u003cb\u003eThe essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn the quarter century since the publication of John Haugeland’s \u003cu\u003eMind Design II\u003c\/u\u003e, computer scientists have hit many of their objectives for successful artificial intelligence. Computers beat chess grandmasters, driverless cars navigate streets, autonomous robots vacuum our homes, and ChatGPT answers existential queries in iambic pentameter on command. Engineering has made incredible strides. But have we made progress in understanding and building minds? Comprehensively updated by Carl Craver and Colin Klein to reflect the astonishing ubiquity of machine learning in modern life, \u003cu\u003eMind Design III\u003c\/u\u003e\u003ci\u003e \u003c\/i\u003eoffers an essential collection of classic and contemporary essays on the philosophical foundations and implications of artificial intelligence. Contributions from a diverse range of philosophers and computer scientists address the nature of computation, the nature of thought, and the question of whether computers can be made to think. With extensive new material reflecting the explosive growth and diversification of AI approaches, this classic reader equips students to assess the possibility of, and progress toward, building minds out of computers.\u003cbr\u003e\u003cbr\u003eNew edition highlights: \u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eNew chapters on advances in deep neural networks, reinforcement learning, and causal learning\u003c\/li\u003e\n\u003cli\u003eNew material on the complementary intersection of neuroscience and AI\u003c\/li\u003e\n\u003cli\u003eOrganized thematically rather than chronologically \u003c\/li\u003e\n\u003cli\u003eBrand new introductions to each section that include suggestions for coursework and further reading\u003c\/li\u003e\n\u003c\/ul\u003e1 Introduction to Mind Design III 1\u003cbr\u003e Carl F. Craver and Colin Klein\u003cbr\u003e PART I COMPUTERS, COMPUTING, AND COMPUTATION 5\u003cbr\u003e 2 What Is Mind Design? 11\u003cbr\u003e John Haugeland\u003cbr\u003e 3 Computer Science as Empirical Inquiry: Symbols and Search 35\u003cbr\u003e Allen Newell and Herbert A. Simon\u003cbr\u003e 4 Vision 59\u003cbr\u003e David Marr\u003cbr\u003e 5 The Analog Alternative 71\u003cbr\u003e Corey J. Maley\u003cbr\u003e PART II WHAT IS INTELLIGENCE? 93\u003cbr\u003e 6 Computing Machinery and Intelligence 101\u003cbr\u003e Alan M. Turing\u003cbr\u003e 7 On Our Best Behaviour 125\u003cbr\u003e Hector J. Levesque\u003cbr\u003e 8 Rationality and Intelligence 139\u003cbr\u003e Stuart J. Russell\u003cbr\u003e 9 Central Systems 159\u003cbr\u003e Jerry A. Fodor\u003cbr\u003e 10 Why AI Is Harder than We Think 175\u003cbr\u003e Melanie Mitchell\u003cbr\u003e PART III INTENTIONALITY AND UNDERSTANDING 189\u003cbr\u003e 11 True Believers: The Intentional Strategy and Why It Works 197\u003cbr\u003e Daniel C. Dennett\u003cbr\u003e 12 Minds, Brains, and Programs 217\u003cbr\u003e John R. Searle\u003cbr\u003e 13 Escaping from the Chinese Room 235\u003cbr\u003e Margaret Boden\u003cbr\u003e 14 Computation and Content 249\u003cbr\u003e Frances Egan\u003cbr\u003e PART IV MODELING THE WORLD 267\u003cbr\u003e 15 Transformational Abstraction in Deep Neural Networks 275\u003cbr\u003e Cameron Buckner\u003cbr\u003e 16 The Evaluative Mind 295\u003cbr\u003e Julia Haas\u003cbr\u003e 17 Whatever Next? Predictive Brains, Situated Agents, and the Future of Cognitive Science 315\u003cbr\u003e Andy Clark\u003cbr\u003e 18 Theoretical Impediments to Machine Learning with Seven Sparks from the Causal Revolution 343\u003cbr\u003e Judea Pearl\u003cbr\u003e PART V CONTRIBUTIONS FROM COGNITIVE NEUROSCIENCE 353\u003cbr\u003e 19 The Architecture of Mind: A Connectionist Approach 361\u003cbr\u003e David E. Rumelhart\u003cbr\u003e 20 The Computational Brain 385\u003cbr\u003e Patricia Churchland and Terrence Sejnowski\u003cbr\u003e 21 The Mind Is Not (Just) a System of Modules Shaped (Just) by Natural Selection 409\u003cbr\u003e Fiona Cowie and James Woodward\u003cbr\u003e PART VI BODY AND WORLD 431\u003cbr\u003e 22 Mind Embodied and Embedded 439\u003cbr\u003e John Haugeland\u003cbr\u003e 23 Intelligence without Representation 465\u003cbr\u003e Rodney A. Brooks\u003cbr\u003e 24 What Does Biorobotics Offer Philosophy? A Tale of Two Navigation Systems 487\u003cbr\u003e Barbara Webb\u003cbr\u003e Acknowledgments 501\u003cbr\u003e Bibliography 507The late John Haugeland was the David B. and Clara E. Stern Professor Emeritus in Philosophy at the University of Chicago. He was chair of the Philosophy Department from 2004–2007 and was the editor of two editions of \u003cu\u003eMind Design: Philosophy, Psychology, and Artificial Intelligence.\u003c\/u\u003e\u003cbr\u003e\u003cbr\u003eCarl F. Craver is Professor of Philosophy and Philosophy-Neuroscience-Psychology at Washington University in St. Louis, author of \u003cu\u003eExplaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience\u003c\/u\u003e, and coauthor of \u003cu\u003eIn Search of Mechanisms: Discoveries across the Life Sciences\u003c\/u\u003e. \u003cbr\u003e\u003cbr\u003eColin Klein is Professor of Philosophy at the Australian National University and author of \u003cu\u003eWhat the Body Commands: The Imperative Theory of Pain\u003c\/u\u003e (MIT Press).","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46302729896165,"sku":"NP9780262546577","price":75.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262546577.jpg?v=1767732711","url":"https:\/\/k12savings.com\/es\/products\/mind-design-iii-isbn-9780262546577","provider":"K12savings","version":"1.0","type":"link"}