Preface | p. 15 |
Introduction | p. 19 |
The Sin of Frankenstein | p. 19 |
Brave New World | p. 21 |
Back to the Present | p. 26 |
Critiquing Artificial Reason | p. 28 |
The Road to Intelligence | p. 33 |
Predicting AI | p. 33 |
The Most Dangerous Game | p. 36 |
Human See, Human Do | p. 40 |
Creativity | p. 42 |
Cybernetics | p. 45 |
The War in the Air | p. 45 |
Feedback and Homeostasis | p. 48 |
Putting It All Together | p. 50 |
The Strange Death of Cybernetics | p. 52 |
The Remains of Cybernetics | p. 55 |
Estimation and Control Theory | p. 55 |
Information Theory | p. 56 |
Computational Neuroscience | p. 57 |
Neural Networks | p. 57 |
Computers | p. 58 |
Artificial Intelligence | p. 58 |
Philosophy of Mind | p. 59 |
What We Lost | p. 60 |
Symbolic AI: The Golden Age | p. 61 |
The Turing Test | p. 63 |
ELIZA | p. 65 |
Logic | p. 68 |
LISP | p. 69 |
Predicting Machines | p. 70 |
Computers and Thought | p. 72 |
Semantic Information Processing | p. 74 |
Semantic Nets | p. 75 |
Frames | p. 76 |
SHRDLU | p. 77 |
AM and EURISKO | p. 78 |
Diaspora | p. 81 |
Computing Power | p. 83 |
Common LISP | p. 87 |
Formalist Float | p. 89 |
Fuzzy Language | p. 92 |
Symbol Grounding | p. 98 |
Competence | p. 101 |
The New Synthesis | p. 103 |
In the Name of Science | p. 103 |
The Proper Study | p. 105 |
Evolutionary Psychology | p. 106 |
Computational Theory of Mind | p. 108 |
Massive Modularity | p. 110 |
The Fox and the Crow | p. 113 |
A Mass of Modules | p. 114 |
Renaissance | p. 116 |
Beyond Human Ken? | p. 119 |
Universal Intelligence | p. 119 |
The Case Against Universality | p. 122 |
The Argument from Animals | p. 122 |
The Argument from Experience | p. 122 |
The Argument from Inductive Bias | p. 124 |
The Case for Universality | p. 124 |
Algorithmic Probability | p. 125 |
The Argument from Biological Self-Reproduction | p. 125 |
The Argument from Evolution | p. 126 |
The Subjective Argument | p. 127 |
The Argument from Human Uniqueness | p. 128 |
The Argument from the Scientific Community | p. 128 |
Conclusions | p. 129 |
Implications | p. 130 |
Autogeny | p. 133 |
The Metaphorical Man | p. 133 |
Mind Children | p. 136 |
Learning in AI | p. 138 |
Robotics | p. 138 |
Machine Learning | p. 139 |
Explanation-Based Learning | p. 139 |
Grasp | p. 141 |
Formalist Flat and Autogeny | p. 143 |
Where We Stand | p. 145 |
Representation and Search | p. 147 |
Search | p. 147 |
Representation | p. 148 |
Representations in AI | p. 151 |
Logic and Semantic Networks | p. 151 |
Bayesian Inference | p. 152 |
Evidence Grids | p. 155 |
Bayesian Networks | p. 155 |
Limits to Growth | p. 157 |
n-Spaces and Hill Climbing | p. 160 |
Biased Random Walks | p. 162 |
Utility-Guided Search | p. 163 |
Universal AI | p. 164 |
Fun and Games | p. 165 |
Chess | p. 166 |
Go | p. 167 |
Soccer | p. 170 |
Global Thermonuclear War | p. 172 |
The Prisoner's Dilemma | p. 173 |
Newcomb's Problem | p. 175 |
Superrationality | p. 176 |
Iterated Prisoner's Dilemma | p. 177 |
Design and Learning | p. 181 |
Multilevel Design | p. 182 |
Evolution-Based Search | p. 183 |
Bayesian Credit Assignment | p. 186 |
Economics-Based Search | p. 187 |
Planning and Programming | p. 188 |
Design | p. 190 |
A Lattice of Goods | p. 192 |
Analogy and Perception | p. 195 |
Structure Matching | p. 196 |
Top-down Representation | p. 198 |
COPYCAT and the FARGitecture | p. 199 |
Herding Cats | p. 202 |
Lost in Space | p. 203 |
Case-Based Reasoning | p. 205 |
Associative Processing | p. 205 |
Design for a Brain | p. 209 |
Methodology | p. 209 |
p. 211 | |
p. 214 | |
p. 215 | |
Dimensionality | p. 215 |
Modularization | p. 217 |
p. 218 | |
Servo with a Simile | p. 221 |
Analogical Quadrature | p. 223 |
Autogeny | p. 224 |
An Economy of Mind | p. 227 |
Language | p. 227 |
Abstraction Hierarchies | p. 229 |
Active Interpretation | p. 230 |
Higher-Level Architecture, with Feedback | p. 232 |
Common Sense | p. 233 |
The Marketplace of Ideas | p. 236 |
Chunking and the Firm | p. 237 |
Homunculi in the Middle | p. 238 |
And a Star to Steer Her By | p. 239 |
Kinds of Minds | p. 241 |
Hypohuman AI | p. 241 |
Diahuman AI | p. 242 |
Parahuman AI | p. 243 |
Allohuman AI | p. 244 |
Epihuman AI | p. 245 |
Hyperhuman AI | p. 247 |
When | p. 249 |
Why | p. 249 |
What | p. 250 |
How | p. 251 |
Software | p. 251 |
Hardware | p. 252 |
Who | p. 253 |
The Military | p. 253 |
Universities | p. 254 |
Industry Laboratories | p. 254 |
Start-ups and Open Source | p. 255 |
Where | p. 256 |
When | p. 256 |
Business as Usual | p. 257 |
Breakthrough | p. 258 |
Philosophical Extrapolations | p. 263 |
Dualism | p. 264 |
The Computational Stance | p. 266 |
Free Will | p. 269 |
Symbols and Meaning | p. 273 |
Machines and Meaning | p. 277 |
Consciousness | p. 279 |
Sentience | p. 280 |
Self-Awareness | p. 281 |
Qualia | p. 283 |
Attention | p. 284 |
The Unity of Experience | p. 284 |
Folk Psychology | p. 288 |
Emotions | p. 290 |
Evolutionary Ethics | p. 293 |
What Morals Are | p. 293 |
Memetic Ethics | p. 295 |
Variation | p. 298 |
Classical Ethics | p. 300 |
Types of Ethical Theory | p. 301 |
The Pursuit of Eudaimonia | p. 303 |
Golden Rules | p. 303 |
Utilitarianism | p. 304 |
Rule-Utilitarianism | p. 307 |
The Veil of Ignorance | p. 308 |
The Moral Epistemology of the Scottish Enlightenment | p. 309 |
Contracts | p. 311 |
Heterogeneous Ethics | p. 312 |
Asimov's Three Laws of Robotics | p. 315 |
Three Laws: Unsafe? | p. 316 |
They Wouldn't Work | p. 316 |
They Would Work Too Well | p. 319 |
They Would Be Unfair to the Robots | p. 320 |
They Won't Be Implemented | p. 321 |
Asenian Architecture | p. 322 |
Id | p. 324 |
Ego | p. 325 |
Superego | p. 326 |
Closing the Circle | p. 328 |
Rational Fools | p. 329 |
The Age of Virtuous Machines | p. 333 |
Ethical AIs | p. 333 |
Hard Takeoff | p. 335 |
Moral Mechanisms | p. 338 |
The Bad News | p. 339 |
The Good News | p. 339 |
Invariants | p. 347 |
Artificial Moral Agency | p. 348 |
Theological Interlude | p. 349 |
Hyperhuman Morality | p. 350 |
Why the Future Doesn't Need Us | p. 352 |
Age of Reason | p. 354 |
Profiles of the Future | p. 357 |
Singularity | p. 357 |
Things to Come | p. 361 |
The Machines Might Just Take Over | p. 362 |
They Might Just Crowd Us Out Instead | p. 363 |
Politics Might Squelch the Revolution | p. 364 |
The Easy Life Might Spoil Humans | p. 364 |
We Might Turn into Weird, Icky Cyborgs | p. 366 |
Frankenstein Redux | p. 367 |
Notes | p. 369 |
Bibliography | p. 391 |
Index | p. 403 |
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