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| Acknowledgments | ||
| Introduction | ||
| 1 | The Prehistory of Android Epistemology | 3 |
| 2 | Computing Machinery and Intelligence | 23 |
| 3 | Steps Towards Artificial Intelligence | 47 |
| 4 | Computer Science as Empirical Enquiry: Symbols and Search | 91 |
| 5 | The Knowledge Level | 125 |
| 6 | A Framework for Representing Knowledge | 165 |
| 7 | Retrieval Time from Semantic Memory | 193 |
| 8 | A Procedural Model of Language Understanding | 203 |
| 9 | The Structure of Episodes in Memory | 235 |
| 10 | In Defense of Logic | 261 |
| 11 | Escaping Brittleness: The Possibility of General Purpose Learning Algorithms Applied to Parallel Rule-Based Systems | 275 |
| 12 | The Appeal of Parallel Distributed Processing | 305 |
| 13 | Intelligence Without Representation | 343 |
| 14 | Empirical Explorations with the Logic Theory Machine | 365 |
| 15 | Some Studies in Machine Learning Using the Game of Checkers | 391 |
| 16 | GPS, A Program that Simulates Human Thought | 415 |
| 17 | STRIPS: A New Approach in the Application of Theorem Proving to Problem Solving | 429 |
| 18 | Blackboard Systems: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures | 447 |
| 19 | Programs with Common Sense | 479 |
| 20 | Dendral and Meta-Dendral: Their Application Dimension | 493 |
| 21 | Consultation Systems for Physicians | 511 |
| 22 | A Truth Maintenance System | 529 |
| 23 | Circumscription - A Form of Non-Monotonic Reasoning | 555 |
| 24 | The Second Naive Physics Manifesto | 567 |
| 25 | Paradigms for Machine Learning | 587 |
| 26 | Improving Human Decision Making Through Case Based Decision Aiding | 597 |
| 27 | Diagnosis Based on Description of Structure and Function | 623 |
| 28 | Pengi: An Implementation of a Theory of Activity | 635 |
| 29 | Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy | 647 |
| 30 | Machine as Mind | 675 |
| Bibliography | 693 | |
| Index | 729 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Carl Zahrt
reviewed Computation and Intelligence: Collected Readings on March 31, 2017 Computation and Intelligence: Collected Readings
A very easy-to-read introduction to philosophy of AI, but was concise enough to surprise me even though I have already read other books of a similar vein. The book spans topics from logic to neuroscience and provides great explanations that should be readable to anyone who can read. The author writes without displaying much sign of bias, which is rare in books covering the topic of AI.
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Add Computation and Intelligence: Collected Readings, Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence: Collected Readings to the inventory that you are selling on WonderClubX
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Add Computation and Intelligence: Collected Readings, Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence: Collected Readings to your collection on WonderClub |