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Artificial Minds(1997) 요약정보 및 구매

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지은이 Franklin
발행년도 1997-04-01
판수 Reprint판
페이지 464
ISBN 9780262561099
도서상태 구매가능
판매가격 36,720원
포인트 0점
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  • Artificial Minds(1997)
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  • Recent decades have produced a blossoming of research in artificial systems that exhibit important properties of mind. But what exactly is this dramatic new work and how does it change the way we think about the mind, or even about who or what has mind?Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Leisurely and informal, but always informed, his tour touches on all of the major facets of mechanisms of mind.Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind, and for the role of mind as a control structure with the essential task of choosing the next action. Selected stops include the best of the work in these different fields, with the key concepts and results explained in just enough detail to allow readers to decide for themselves why the work is significant.Major attractions include animal minds, Allan Newell's SOAR, the three Artificial Intelligence debates, John Holland's genetic algorithms, Wilson's Animat, Brooks' subsumption architecture, Jackson's pandemonium theory, Ornstein's multimind, Marvin Minsky's society of mind, Pattie Maes's behavior networks, Gerald Edelman's neural Darwinism, Drescher's schema mechanisms, Pentti Kanerva's sparse distributed memory, Douglas Hofstadter and Melanie Mitchell's Copycat, and Agre and Chapman's deictic representations.A Bradford Book.
  • 1. Mechanisms of Mind Phase Transitions and Fascinating Questions Life Itself Stubb's Great Leaps Mind Children What is Mind and why Study it? Itinerary 2. The Nature of Mind and the Mind-Body Problem The Nature of Mind The Mind-Body Problem Mind as Global Dynamics Consciousness a la Chalmers Free will a la Sloman Degrees of Mind 3. Animal Minds Animal Minds? The Mechanistic Alternative Other Minds Griffith's Criteria for Animal Consciousness Brain and Consciousness Inherited Templates Tool Use Animal Architecture Communication Among Animals Animal Language Self-awareness Rational Animals? Animal Humor? Conclusions? 4. Symbolic AI Production Systems Turing Machines Production Systems vs Turing Machines Parallel Production Systems SOAR SOAR's mechanisms Applications of SOAR SOAR's Hypotheses 5. The First AI Debate Setting the Stage Opening statements The Turing Test The Pro Position The Dreyfus Attack Scripts a la Schank The Chinese Room Quadratic Understanding Goedel's Incompleteness Theorem The Penrose Attack The Horgan-Tienson Attack Conclusions? 6. Connectionism Connectionism -- The Basic Ideas Modeling a Neuron Computation with Formal Neurons An Exclusive-Or Network Feedback and Word Recognition Representation Virtues of Artificial Neural Networks Learning by Artificial Neural Networks 7. The Second AI Debate Setting the Stage The Connectionist Agenda The Hundred Step Rule Brain vs Computer Model of Mind Lloyd's Cautions Fodor's Attack Chalmer's Defense Pollack's RAAM Passivization of Sentences Connectionism is Richer? Representations without Rules Conclusions? 8. Evolution, Natural and Artificial Evolution of Mind Life's Timetable Single Cell Minds What is Life? Evolution as Information Processing Us and Bats Genetic Nuts and Bolts Cumulative selection Genetic Algorithms Genetic Search for XOR Weights 9. Artificial Life Artificial Life Animat and Intelligence Animat as a Simple Animal Animat and it's Environment Animat's Classifier System Animat in Action Trouble in Paradise Some Conclusions Learning and Evolution Epilogue 10. The Multiplicity of Mind Multimind Patterns of Behavior The Creation of Information The Brain a la Ornstein Structure of Multimind The Society of Mind Minsky's Mechanisms 11. What do I do Now? Pandemonium Model of Mind Concepts via Pandemonium A Computing Perspective on Pandemonium An Implementation of Pandemonium Problems, Comments and Questions Behavior Networksthe Design Criteria Behavior Networksthe Mechanism Planning in Behavior Networks Behavior Network Features Nouvelle AI Subsumption Architecture Allen Herbert Autonomous Agents Classification of Agents Hierarchy of Behaviors 12. What's Out There Dynamical Systems Perceptual Categories Information, Order and Entropy Signals and Chaos Neural Darwinism Darwin III Schema Mechanism The Constructivist's Challenge 13. Remembering and Creating Memory Boolean Geometry A Sparse Distributed Random Access Memory Cognition a la Kanerva An Adaptive Autonomous Agent The Darwin Machine Copycat A Copycat Run 14. Representation and the Third AI Debate Deictic Representations The Enactive Paradigm Goals Motives and Goals The Third AI Debate 15. Into the Future The Quantum Connections Mind Children The Future Supercosm 16. An Emerging New Paradigm?
  • Stan Franklin is Professor in the Department of Mathematical Sciences at the University of Memphis.
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  • Artificial Minds(1997)
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