Artificial General Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Raising AI: Tutoring Matters
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   Chapter 2 Autobiography Based Prediction in a Situated AGI Agent
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   Chapter 3 Problems of Self-reference in Self-improving Space-Time Embedded Intelligence
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   Chapter 4 A General Artificial Intelligence Approach for Skeptical Reasoning
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   Chapter 5 On Effective Causal Learning
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   Chapter 6 Increasing Accuracy in a Bidirectional Associative Memory through Expended Databases
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   Chapter 7 Fusion Adaptive Resonance Theory Networks Used as Episodic Memory for an Autonomous Robot
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   Chapter 8 Bracketing the Beetle: How Wittgenstein’s Understanding of Language Can Guide Our Practice in AGI and Cognitive Science
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    Chapter 9 Bounded Seed-AGI
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    Chapter 10 The Multi-slot Framework: A Formal Model for Multiple, Copiable AIs
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    Chapter 11 Teleporting Universal Intelligent Agents
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    Chapter 12 An Application of Stochastic Context Sensitive Grammar Induction to Transfer Learning
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    Chapter 13 Making Universal Induction Efficient by Specialization
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    Chapter 14 Reinforcement Learning for Adaptive Theory of Mind in the Sigma Cognitive Architecture
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    Chapter 15 ARS: An AGI Agent Architecture
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    Chapter 16 Quantum Mechanical Foundations of Causal Entropic Forces
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    Chapter 17 A General System for Learning and Reasoning in Symbolic Domains
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    Chapter 18 Intelligence as Inference or Forcing Occam on the World
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    Chapter 19 Distributed Vector Representations of Words in the Sigma Cognitive Architecture
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    Chapter 20 Can a Computer be Lucky? And Other Ridiculous Questions Posed by Computational Creativity
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    Chapter 21 Instructions for Engineering Sustainable People
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    Chapter 22 Toward a Formalization of QA Problem Classes
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    Chapter 23 MInD: Don’t Use Agents as Objects
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    Chapter 24 Guiding Probabilistic Logical Inference with Nonlinear Dynamical Attention Allocation
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    Chapter 25 A Cognitive API and Its Application to AGI Intelligence Assessment
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    Chapter 26 Self-modeling Agents Evolving in Our Finite Universe
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    Chapter 27 Affective Agent Architecture: A Preliminary Research Report
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    Chapter 28 Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity
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    Chapter 29 System Factorial Technology Applied to Artificial Neural Network Information Processing
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    Chapter 30 Compression and Decompression in Cognition