Table of Contents

(Two of the chapters have been put online at Kurzweil AI -- they are linked below. 1, 2)

Preface: An Open Letter to the Intelligent Machines of the Future
  1. Introduction
    • The Sin of Frankenstein
    • Brave New World
    • Back to the Present
    • Critiquing Artificial Reason
  2. The Road to Intelligence
    • Predicting AI
    • The Most Dangerous Game
    • Human See, Human Do
    • Creativity
  3. Cybernetics
    • The War in the Air
    • Feedback and Homeostasis
    • Putting it All Together
    • The Strange Death of Cybernetics
    • The Remains of Cybernetics
      • Estimation and Control Theory
      • Information Theory
      • Computational Neuroscience
      • Neural Networks
      • Computers
      • Artificial Intelligence
      • Philosophy of Mind
      • What We Lost
  4. Symbolic AI: the Golden Age
    • The Turing Test
    • Eliza
    • Logic
    • LISP
    • Predicting Machines
    • Computers and Thought
    • Semantic Information Processing
      • Semantic nets
    • Frames
    • SHRDLU
    • AM and Eurisko
  5. Diaspora
    • Computing Power
    • Common Lisp
    • Formalist Float
      • Fuzzy Language
      • Symbol Grounding
      • Competence
  6. The New Synthesis
    • In the Name of Science
    • The Proper Study
      • Evolutionary psychology
      • Computational Theory of Mind
      • Massive Modularity
      • A Mass of Modules
    • Renaissance
  7. Beyond Human Ken?
    • Universal intelligence
    • The Case Against Universality
      • The Argument from Animals
      • The Argument from Experience
      • The Argument from Inductive Bias
    • The Case for Universality
      • Algorithmic Probability
      • The Argument from Biological Self-reproduction
      • The Argument from Evolution
      • The Subjective Argument
      • The Argument from Human Uniqueness
      • The Argument from the Scientific Community
    • Conclusions
    • Implications
  8. Autogeny
    • The Metaphorical Man
    • Mind Children
    • Learning in AI
    • Grasp
    • Formalist Float and Autogeny
    • Where We Stand
  9. Representation and Search
    • Search
    • Representation
    • Representations in AI
      • Logic and Semantic Networks
      • Bayesian inference
      • Evidence Grids
      • Bayesian networks
    • Limits to Growth
    • n-Spaces and Hill Climbing
      • Biased random walks
    • Utility-Guided Search
    • Universal AI
  10. Fun and Games
    • Chess
    • Go
    • Soccer
    • Global Thermonuclear War
    • The Prisoners' Dilemma
      • Newcomb's Problem
      • Superrationality
      • Iterated Prisoner's Dilemma
  11. Design and Learning
    • Multi-level design
    • Evolution-based search
      • Bayesian Credit Assignment
    • Economics-based search
      • Planning and Programming
      • Design
  12. Analogy and Perception
    • Structure Matching
    • Top-down Representation
    • Copycat and the Fargitecture
    • Herding Cats
    • Lost in Space
    • Case-Based Reasoning
    • Associative Processing
  13. Design for a Brain
    • Methodology
    • Robot 1
      • Robot 1.1
    • Robot 2
      • Dimensionality
      • Modularization
    • Robot 3
    • Servo with a Simile
      • Analogical Quadrature
      • Autogeny
  14. An Economy of Mind
    • Language
    • Abstraction Hierarchies
      • Active Interpretation
    • Higher-level Architecture, with Feedback
    • Common Sense
    • The Marketplace of Ideas
    • Chunking and the Firm
    • Homunculi in the Middle
    • And a Star to Steer Her By
  15. Kinds of Minds
    • Hypohuman AI
    • Diahuman AI
    • Parahuman AI
    • Allohuman AI
    • Epihuman AI
    • Hyperhuman AI
  16. When
    • Why
    • What
    • How
      • Software
      • Hardware
    • Who
      • The Military
      • Universities
      • Industry Laboratories
      • Start-ups and Open Source
    • Where
    • When
      • Business as Usual
      • Breakthrough
  17. Philosophical Extrapolations
    • Dualism
    • The Computational Stance
    • Free Will
    • Symbols and Meaning
      • Machines and Meaning
    • Consciousness
      • Sentience
      • Self-awareness
      • Qualia
      • Attention
      • The Unity of Experience
    • Folk Psychology
    • Emotions
  18. Evolutionary Ethics
    • What Morals Are
      • Memetic Ethics
      • Variation
    • Classical Ethics
      • Types of Ethical Theory
      • The Pursuit of Eudaimonia
      • Golden Rules
      • Utilitarianism
      • The Veil of Ignorance
      • The Moral Epistemology of the Scottish Enlightenment
      • Contracts
    • Heterogeneous Ethics
  19. Asimov's Three Laws of Robotics
    • Three Laws: Unsafe?
      • They wouldn't work
      • They would work too well
      • They would be unfair to the robots
      • They won't be implemented
    • Asenian architecture
      • Id
      • Ego
      • Superego
    • Closing the Circle
    • Rational Fools
  20. The Age of Virtuous Machines
    • Ethical AIs
    • Hard Take-off
    • Moral Mechanisms
      • The bad news:
      • The good news:
    • Artificial Moral Agency
    • Theological Interlude
    • Hyperhuman Morality
      • Why the Future Doesn't Need Us
      • Age of Reason
  21. Profiles of the Future
    • Singularity
    • Things to Come
      • The Machines Might Just Take Over
      • They Might Just Crowd Us Out Instead
      • Politics Might Squelch the Revolution
      • The Easy Life Might Spoil Humans
      • We Might Turn into Weird Icky Cyborgs
    • Frankenstein Redux

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© 2008 J. Storrs Hall, PhD