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· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9789811576942
· 쪽수 : 394쪽
· 출판일 : 2020-08-22
목차
Part I ? AI Concepts
As the introductory section, this section will discuss the history and basic concepts of AI.
Chap 1 AI and Human Civilization ? From Greek Mythology to AI Robotics
Chap 2 AI Fundamentals
2.1 Definition of AI
2.2 A Brief History of AI
2.3 Turing Test and AI
2.4 Strong AI vs Weak AI
2.5 Main components of AI
2.6 Case Study: Does Turing Test Really Work to Test for AI?
Part II ? AI Technologies
This section discusses FIVE core AI Technologies which provide the building blocks of various different kind of AI applications, they are: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), Ontology-based Search Engine (OSE).
Chap 3 Machine Learning (ML)
3.1 What is Machine Learning (ML)?
3.2 Supervised Learning (SL)
3.3 Unsupervised Learning (UL)
3.4 Reinforcement Learning (RL)
3.5 Case Study ? How can we improve our memory by using Reinforcement Learning?
Chap 4 Data Mining (DM) & Big Data (BD)
4.1 What is Knowledge?
4.2 Data Mining, Big Data and Knowledge Discovery
4.3 Traditional Data Mining Technology
4.4 AI-based Data Mining Technology
4.5 Case Study ? How to “mine” our purchase habit using Data Mining Technology?
Chap 5 Computer Vision (CV)
5.1 Computer Vision vs Human Vision
5.2 3 Levels of Computer Vision ? Figure-ground Segmentation, Pattern Recognition, Active Vision
5.3 Active Vision and Robotics
5.4 Computer Vision Technology
5.5 Case Study ? How AI-based Facial Recognition System works?
Chap 6 Natural Language Processing (NLP)
6.1 Human Language and Intelligence
6.2 Natural Language Processing in AI
6.3 Speech Recognition and Voice Synthesis
6.4 Machine Translation
6.5 Case Study ? English Language Tutoring Robots
Chap 7 Ontological-based Search Engine (OSE)
7.1 Human Knowledge and Ontology
7.2 How Search Engine Works?
7.3 Traditional Search Engine vs. Ontological-based Search Engine
7.4 Ontological-based Search Engine and Semantic Web
7.5 Case Study ? Turing Test and Ontology Search Engine
Part III ? AI Applications
This section will discuss major contemporary AI applications which affect ways of living, working style and environment ranging from Intelligent Agents and Robotics to smart campus and smart city projects.
Chap 8 Intelligent Agents and Robotics
8.1 Hardware Robots vs Software Agents
8.2 Intelligent Agent Technology
8.3 Agent Applications
8.4 Case Study ? A Real Case of Shopping and Bargaining Agents
Chap 9 Intelligent Transportation
9.1 From 1G to 5G
9.2 Location-based System and Positing Technology
9.3 AI-based Auto-driving System
9.4 Intelligent Transportation Systems
9.5 Case Study ? How Intelligent Transportation Reshape our Daily Life?
Chap 10 Smart Health
10.1 IoT and Intelligent Sensor Technology 10.2 Smart Health Monitoring Devices10.3 Smart Doctor and Expert Systems
10.4 Smart Surgeon and Remote Surgery
10.5 Case Study ? How AI and Big Data work to improve your health?
Chap 11 Smart Education
11.1 Reinforcement Learning vs Traditional Learning 11.2 Reinforcement iLearning System11.3 Ontological-based iLearning System
11.4 Case Study ?AR-based Intelligent Holographical Classroom
Chap 12 Smart City
12.1 Major Components of Smart City12.2 Smart Pole
12.3 Smart House
12.4 Smart Campus
12.5 Case Study ? How Smart City Reshape Our Daily Life?
Part V ? Beyond AI
The section will discuss the topics beyond but critically important for the future development of AI. In particular, it will also discuss some critical issues such as ethics, the development of conscious mind, autonomous robotic in our daily life and related topics.
Chap 13 AI and Self-consciousness
13.1 What is Intelligence?13.2 Self-consciousness in AI
13.3 Self-awareness Agents
13.4 Case Study: Self-awareness AI, are we still in control?
Chap 14 AI Ethics, Security and Privacy
14.1 AI THREE Golden Rule of Ethics14.2 Internet Security and Authentication Technology
14.3 AI Security and Privacy Issues
14.4 Case Study: Do we need a new set of AI Ethic Rules?
Chap 15 What’s Next?
15.1 Beyond 5G + AI, What next?15.2 AI and Quantum Computing
15.3 New Challenges in Future AI
15.4 Conclusion