The future of the artificial mind:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
Crc Press, Taylor & Francis Group
2022
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xi, 242 Seiten Illustrationen |
| ISBN: | 9780367638276 9780367638269 |
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Datensatz im Suchindex
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Contents Preface iv Introduction ix 1. The Landscape 1.1 1.2 1.3 1.4 1.5 1.6 Into Eega Beeva’s Toolbox Mind Artificial Intelligence Representations Computation 2. When the Computer First Meets the Mind 2.1 2.2 2.3 Thinking as Calculating 2.1.1 Logic 2.1.2 A Steam Powered Computer The Turing Machine 2.2.1 The Machine 2.2.2 From Mind to Machine and Back The Imitation Game 2.3.1 Can Machines Think? 2.3.2 Russell Demonstrated by Machine 2.3.3 Into a Chinese Room 3. The Early Shaping of Cognitive Science by Artificial Intelligence 3.1 Solving Problems 3.1.1 Reasoning with Bounded Cognition 1 1 3 4 5 6 8 11 12 13 18 20 21 26 28 29 34 36 40 41 42
Contents 3.2 3.3 Formai Languages and Cognition 3.2.1 The Fascination with Combinatorics on Words 3.2.2 Words in Ordinary and in Programming Languages 3.2.3 Understanding Natural Language Levels of Cognition 3.3.1 Brave Computational Explanations of the Brain 3.3.2 Goodbye Neuroscience, Welcome AI 4. Contending Philosophical Frameworks Within Artificial Intelligence ■ vii 44 45 47 52 56 56 58 61 The Empiricist Agenda 62 4.1.1 The Perceptron and its Backlash 62 4.1.2 The Magic of Backpropagation 66 4.1.3 Commitment to Cognition, Not so Much to Neuroscience 69 4.2 The Case of Language Development 73 4.2.1 The Past Tense War 74 4.2.2 Neural Networks that Remember 77 4.2.3 Distributed Semantics 80 4.3 Autopoiesis and Self Organizing Systems 84 4.3.1 The Philosophy of Autopoiesis 84 4.3.2 Self-Organization made Computational 86 4.3.3 Self-Organization made Science 90 4.3.4 Self-Organization made Easy 91 4.4 Other Philosophical Inspirations 97 4.4.1 Bayes 97 4.4.2 Darwin 101 4.4.3 Heidegger 105 4.1 5. An Unexpected Renaissance Age The Warmth of Deep Learning 5.1.1 Cold Seasons 5.1.2 From Shallow to Deep 5.1.3 Good Old Tools 5.1.4 Why Deep Learning Works 5.2 Anatomy of a Success 5.2.1 AI Publications Trend 5.2.2 Fighting in Competitions 5.2.3 Games and More Serious Pursuits 5.3 Vision and Language 5.3.1 The Case of Artificial Vision 5.3.2 Grasping a Language 5.3.3 Getting Close to Turing’s Dream 5.1 111 111 112 115 118 121 125 126 128 130 131 131 136 143
viii ■ The Future ofthe Artificial Mind 6. Humans, Machines, and Social Cognition 145 Fear, Enslavement, and Trust Artificial Anthropomorphism Robots and Sex 146 152 155 6.1 6.2 6.3 7. Towards the Hardest Things 7.1 7.2 7.3 7.4 Self-consciousness and Social Cognition Machine Consciousness Artificial Morality Future Souls 158 158 165 168 176 References 179 Index 233 |
| adam_txt |
Contents Preface iv Introduction ix 1. The Landscape 1.1 1.2 1.3 1.4 1.5 1.6 Into Eega Beeva’s Toolbox Mind Artificial Intelligence Representations Computation 2. When the Computer First Meets the Mind 2.1 2.2 2.3 Thinking as Calculating 2.1.1 Logic 2.1.2 A Steam Powered Computer The Turing Machine 2.2.1 The Machine 2.2.2 From Mind to Machine and Back The Imitation Game 2.3.1 Can Machines Think? 2.3.2 Russell Demonstrated by Machine 2.3.3 Into a Chinese Room 3. The Early Shaping of Cognitive Science by Artificial Intelligence 3.1 Solving Problems 3.1.1 Reasoning with Bounded Cognition 1 1 3 4 5 6 8 11 12 13 18 20 21 26 28 29 34 36 40 41 42
Contents 3.2 3.3 Formai Languages and Cognition 3.2.1 The Fascination with Combinatorics on Words 3.2.2 Words in Ordinary and in Programming Languages 3.2.3 Understanding Natural Language Levels of Cognition 3.3.1 Brave Computational Explanations of the Brain 3.3.2 Goodbye Neuroscience, Welcome AI 4. Contending Philosophical Frameworks Within Artificial Intelligence ■ vii 44 45 47 52 56 56 58 61 The Empiricist Agenda 62 4.1.1 The Perceptron and its Backlash 62 4.1.2 The Magic of Backpropagation 66 4.1.3 Commitment to Cognition, Not so Much to Neuroscience 69 4.2 The Case of Language Development 73 4.2.1 The Past Tense War 74 4.2.2 Neural Networks that Remember 77 4.2.3 Distributed Semantics 80 4.3 Autopoiesis and Self Organizing Systems 84 4.3.1 The Philosophy of Autopoiesis 84 4.3.2 Self-Organization made Computational 86 4.3.3 Self-Organization made Science 90 4.3.4 Self-Organization made Easy 91 4.4 Other Philosophical Inspirations 97 4.4.1 Bayes 97 4.4.2 Darwin 101 4.4.3 Heidegger 105 4.1 5. An Unexpected Renaissance Age The Warmth of Deep Learning 5.1.1 Cold Seasons 5.1.2 From Shallow to Deep 5.1.3 Good Old Tools 5.1.4 Why Deep Learning Works 5.2 Anatomy of a Success 5.2.1 AI Publications Trend 5.2.2 Fighting in Competitions 5.2.3 Games and More Serious Pursuits 5.3 Vision and Language 5.3.1 The Case of Artificial Vision 5.3.2 Grasping a Language 5.3.3 Getting Close to Turing’s Dream 5.1 111 111 112 115 118 121 125 126 128 130 131 131 136 143
viii ■ The Future ofthe Artificial Mind 6. Humans, Machines, and Social Cognition 145 Fear, Enslavement, and Trust Artificial Anthropomorphism Robots and Sex 146 152 155 6.1 6.2 6.3 7. Towards the Hardest Things 7.1 7.2 7.3 7.4 Self-consciousness and Social Cognition Machine Consciousness Artificial Morality Future Souls 158 158 165 168 176 References 179 Index 233 |
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| title_full | The future of the artificial mind Alessio Plebe (Department of Cognitive Science, University of Messina, Messina, Italy), Pietro Perconti (Department of Cognitive Science, University of Messina, Messina, Italy) |
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