Chapter 1 The Definition and Development of AI
1.1 Definition of AI
1.2 The Origin and Development of AI
1.2.1 History and Development of AI
1.2.2 Future of AI
1.3 The Main Schools of AI Research
1.4 The Development History of AI in China
1.4.1 The History of AI in China
1.4.2 AI Achievements in China
Notes
Terms
Exercises
Chapter 2 Big Data Thinking and Automatic Fuzzy Logic
2.1 Big Data Thinking
2.1.1 Definition of Big Data
2.1.2 The Essence of Big Data
2.1.3 What Is Big Data Thinking
2.2 Big Data Hastens the Age of Intelligence
2.2.1 From Machine Intelligence to Artificial Intelligence
2.2.2 Statistics and Big Data
2.2.3 Big Data and Data Science
2.2.4 Big Data Miracle.from Quantitative to Qualitative Change
2.3 Big Data Thinking and Automatic Fuzzy Logic
2.3.1 Anti-Accuracy Worship--the Bald Man Paradox
2.3.2 Core of Fuzzy Logic--Fuzzy Thinking
2.3.3 Big Data and the Realization of Automatic Fuzzy Logic--Turning Intelligence Problem into Data Problem
2.3.4 Is Big Data Making Automatic Fuzzy Logic More Accurate or Fuzzier
2.4 Applications of Fuzzy Logic
2.4.1 Washing Systems Powered by Fuzzy Logic
2.4.2 Automatic Process Control in Rail Operation
2.4.3 Diagnosis of Complicated Diseases
2.4.4 Detection of Crimes
Notes
Terms
Exercises
Chapter 3 Related Fields of Artificial Intelligence
3.1 Cloud Computing
3.1.1 Introduction
3.1.2 Cloud Characteristics
3.1.3 Cloud Service Models
3.1.4 Cloud Deployment Models
3.1.5 Cloud Service Providers
3.1.6 Quality of Service (QoS)
3.2 Internet of Things
3.2.1 Introduction
3.2.2 loT Layers Architecture
3.2.3 New Research Domain
3.2.4 Unexpected Risks Related to Big Data Generated by loT
3.2.5 Unexpected Risks Related to the Openness of loT
3.3 Automation
