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What Is Intelligence? : A General Theory of Artificial Intelligence.
- Format:
- Book
- Author/Creator:
- Zhong, Yixin.
- Series:
- Hors Collection
- Language:
- English
- Physical Description:
- 1 online resource (156 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Les Ulis : EDP Sciences, 2025.
- Summary:
- This book explores the concept of intelligence and artificial intelligence (AI), addressing its capabilities, limitations, and societal impact. Written by a team of experts in AI, information science, and cognitive research, it seeks to dispel fears surrounding AI and provide a balanced perspective on its development. The authors analyze the evolution of AI technologies, including neural networks, deep learning, and reinforcement learning, while discussing the philosophical and scientific paradigms necessary for guiding AI research. The book aims to foster understanding of AI’s role in modern society and encourage responsible innovation. Targeted at researchers, academics, and readers interested in AI, it blends rigorous scientific analysis with thoughtful philosophical inquiry. Generated by AI.
- Contents:
- 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'' Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 2-7598-3726-2
- OCLC:
- 1530514817
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