1st Edition
Foundation, Architecture, and Prototyping of Humanized AI A New Constructivist Approach
Part 1: Philosophy of Humanized AI in Plain Language
Chapter 1 The Human-Machine World to Create: Humanized AI
Chapter 2 The World We Live in and The World in Our Eyes
Chapter 3 The World in Our Mind: Fundamental Laws and Principles
Chapter 4 The World to Learn: Cognition and Learning
Part 2: Humanized AI and Its Approaches
Chapter 1 A Brief History of AI and Machine-Learning Methods
Chapter 3 Existing Approaches to Humanized AI
Chapter 4 New Approach To Humanized AI
Part 3: Architecture of Humanized AI
Chapter 1 Three Worlds and Virtual Reality
Chapter 2 First Designer Stance
Chapter 3 Dynamic Knowledge Representation
Chapter 4 Attention Mechanism and Attentive World
Chapter 5 Learning Mechanism and Knowledge Discovery
Chapter 6 Adaptive Response Mechanism
Chapter 7 Effective Teaching
Part 4: Prototyping Agents - Zda and Lia
Chapter 1 Functional and Logic Specifications
Chapter 2 Modularization of Humanized AI Architecture
Chapter 3 Implementations of Innate Mechanisms
Chapter 4 Miscellaneous
Glossary
Appendix: Tutorial to Common Methods for Narrow AI
References
　
Biography
Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 12 books on artificial intelligence & machine learning, adaptive clinical trial designs, biostatistics, and scientific principles.
