
What Is Intelligence?
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Content
- Intro
- What Is Intelligence? A General Theory of Artificial Intelligence
- Introduction
- Contents
- Paradigm Revolution in the Field of Intelligence
- New Explanation of Basic Concepts
- Human Intellectual Ability
- Human Wisdom
- Human Intelligence
- Artificial Intelligence
- New Exploration of Scientific Laws
- Science and Technology: Why Does It Emerge (Starting Point)? How Does It Develop (Process)? What Role Will It Perform (End Point)?
- Evolutionary Patterns of Human Capacity Expansion Needs
- Characteristics of the Era of Scientific and Technological Development
- Paradigm Theory I: New Definitions of Concepts
- Paradigm Theory II: The Paradigm Formation Period
- Paradigm Theory III: Mismatch of Paradigm During the Paradigm Formation Period
- Paradigm Theory IV: The Implementation Framework of the Paradigm Revolution
- The Claim ``AI Can Surpass Humans in All Aspects'' Is Not Valid
- Artificial Intelligence: Paradigm Mismatch and Paradigm Revolution
- The AI Research So Far: Paradigm Mismatch
- Steps in Implementing the Paradigm Revolution in AI
- The First Step in the Paradigm Revolution in AI: Summarizing and Establishing the Paradigm for the Information Discipline
- The Second Step in the Paradigm Revolution: Constructing a Global Model of AI
- The Third Step in the Paradigm Revolution: Exploring Research Approach in AI
- The Fourth Step in the Paradigm Revolution in AI: Precision in the Academic Structure of AI
- The Fifth Step in the Paradigm Revolution in AI: Precision in the Fundamental Theory of AI
- The Sixth Step in the Paradigm Revolution in AI: Reconstructing a New Theory of AI
- Implementing the Universal Intelligence Generation Mechanism and Creating the General AI Theory
- The Principle of Perception (and Attention): Conversion from ``Object Information'' to ``Perceptual Information''
- The Principle of Cognition: Conversion from ``Perceptual Information'' to ``Knowledge''
- The Principle of Memory Expression: Comprehensive Information and Comprehensive Knowledge Representation of the Memory Base
- The Principle of Strategy Formulation: Conversion from ``Perceptual Information - Knowledge - Goal'' to ``Strategy''
- The Principle of Strategy Execution: Conversion from Intelligent Strategy to Intelligent Action and Optimization of the Strategy
- Universal Logics
- The Basic Law of Logic's Development
- The Current Direction of Logic Development
- Basic Parts in Logic
- Basic Properties of the Object of Logic
- The Basic Property of the Objective World Is Evolution
- Analysis of the Basic Properties of the Subjective World
- Intelligence Can Only Be Formed and Evolve in a Realistic Environment
- Research and Practice in AI Have Proven that It Requires Universal Logics Support
- The Original Intention of Establishing the Discipline of AI
- Over 70 Years of Practical Experience in AI Research
- Giving Computers More Intelligence Factors
- AI Research Urgently Needs Logical Paradigm Revolution
- Propositional Universal Logics Theory
- Theoretical Framework of Propositional Universal Logics
- An Effective Way to Achieve Propositional Universal Logics
- The Specific Expansion Process of Propositional Universal Logics
- How to Apply Positional Universal Logics
- Robustness Criteria Using Propositional Universal Logics
- Method for Determining the Parameters of the Logical Operation Model
- Logical Support for Intelligent Generation Mechanism
- Propositional Universal Logics and Deep Neural Network
- Summary
- Factor Space
- Factor Space Is a Mathematical Product of the Paradigm Revolution in Intelligence Research
- Definition and Properties of Factor Space
- Factors Are Generalized Variables
- Definition of Factor Space
- Background Base
- Factor Spectrum
- Knowledge Growth Expression
- Definition of Factor Spectrum
- Root and Derivative Factors
- Factor Pedigree and Factor Space Vine
- Factor Encoding - the DNA of Knowledge Ontology
- Factor Space Is the Basis for Revolution of Cause and Effect
- Pearl's ``Revolution of Cause and Effect'' Theory (Pearl et al., 2018)
- The Core Idea of Causality Analysis
- Factors Are Elements of Causality Analysis
- Attribute Association and Factor Correlation
- General Principles of Causality Induction
- Correlation Determines Causality
- Causality Must be Uncovered from the Correlation Theory of Probability Statistics
- Causality Triangulation Method
- Factor Space Theory Is the Mathematical Foundation of Information and Intelligence Science
- Factor Spaces Provide a Unified Descriptive Platform for All Branches of Intelligent Mathematics
- The Basic Problem of Object Distinguishing
- Automatic Generation of Concepts
- Basic Problem of Causality Induction
- Rough Calculation of Sweep Class and Explicit and Implicit Algorithm Using Machine Learning
- Tentative Algorithm for Supporting Vector Sets
- Factor Space Is a Mathematical Tool for Intelligent Incubation
- Description of Perception Process
- Intelligence Incubation Project
- Summary and Outlook
- Summary of Basic Principles
- A Brief Review of Current AI Research
- Outlook
- Bibliography
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