Artificial General Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration
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   Chapter 2 Error-Correction for AI Safety
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   Chapter 3 Artificial Creativity Augmentation
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   Chapter 4 The Hierarchical Memory Based on Compartmental Spiking Neuron Model
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   Chapter 5 The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents
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   Chapter 6 Approach for Development of Engineering Tools Based on Knowledge Graphs and Context Separation
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   Chapter 7 Towards Dynamic Process Composition in the DSO Cognitive Architecture
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   Chapter 8 SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners
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    Chapter 9 Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence
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    Chapter 10 Self-explaining AI as an Alternative to Interpretable AI
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    Chapter 11 AGI Needs the Humanities
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    Chapter 12 Report on “AI and Human Thought and Emotion”
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    Chapter 13 Cognitive Machinery and Behaviours
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    Chapter 14 Combinatorial Decision Dags: A Natural Computational Model for General Intelligence
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    Chapter 15 What Kind of Programming Language Best Suits Integrative AGI?
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    Chapter 16 Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities
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    Chapter 17 Embedding Vector Differences Can Be Aligned with Uncertain Intensional Logic Differences
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    Chapter 18 Delta Schema Network in Model-Based Reinforcement Learning
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    Chapter 19 Information Digital Twin—Enabling Agents to Anticipate Changes in Their Tasks
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    Chapter 20 ‘OpenNARS for Applications’: Architecture and Control
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    Chapter 21 Towards AGI Agent Safety by Iteratively Improving the Utility Function
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    Chapter 22 Learning to Model Another Agent’s Beliefs: A Preliminary Approach
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    Chapter 23 An Attentional Control Mechanism for Reasoning and Learning
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    Chapter 24 Hyperdimensional Representations in Semiotic Approach to AGI
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    Chapter 25 The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness
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    Chapter 26 Position Paper: The Use of Engineering Approach in Creation of Artificial General Intelligence
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    Chapter 27 How Do You Test the Strength of AI?
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    Chapter 28 Omega: An Architecture for AI Unification
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    Chapter 29 Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI
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    Chapter 30 The Meaning of Things as a Concept in a Strong AI Architecture
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    Chapter 31 Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior
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    Chapter 32 Autonomous Cumulative Transfer Learning
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    Chapter 33 New Brain Simulator II Open-Source Software
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    Chapter 34 Experience-Specific AGI Paradigms
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    Chapter 35 Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm
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    Chapter 36 Logical Probabilistic Biologically Inspired Cognitive Architecture
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    Chapter 37 An Architecture for Real-Time Reasoning and Learning
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    Chapter 38 A Model for Artificial General Intelligence