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  • ISBN:9787568933186
  • 装帧:暂无
  • 册数:暂无
  • 重量:暂无
  • 开本:16开
  • 页数:212
  • 出版时间:2022-08-01
  • 条形码:9787568933186 ; 978-7-5689-3318-6

内容简介

本书话题新颖、语言地道,用较为浅显的方式介绍了人工智能的定义和发展、大数据思维与自动化模糊逻辑、人工智能相关领域(云计算物联网、自动化)、人工智能在机器人等领域的体现、人工智能在金融领域的应用、人工智能在公共服务领域的应用、人工智能与伦理问题和人工智能对职场的影响等。

目录

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
3.3.1 Introduction
3.3.2 Automation and Wireless System Networks in Agriculture
3.3.3 Hyperautomation
Notes
Terms
Exercises
Chapter 4 The Embodiment of Artificial Intelligence
4.1 Robot
4.1.1 Tenets of Artificial Intelligence in the Robotics Industry
4.1.2 How Do Robots and Artificial Intelligence Work Together
4.1.3 How Will AI Revolutionize the Robotics Industry in the Future
4.2 Autonomous Vehicles
4.2.1 What Are Autonomous Vehicles
4.2.2 Why Do We Use Autonomous Vehicles
4.2 ,3 Artificial Intelligence in Self-Driving Cars
4,2.4 Multiple Autonomous Vehicle Systems (MAVs)
4.2.5 Artificial Intelligence in Drones
4,2.6 Prospect
4.3 Game
4.3.1 AI for Games
4.3.2 The Kind of AI in Games
4.4 Expert System
4.4.1 Technological Issues and Performance Limitations of Expert Systems
4.4.2 Developments in Expert Systems
4.5 Intelligent Agent
4.5.1 Agents Situated in Environments
4.5.2 Designing Agents
4.5.3 Conclusion
4.6 Future of AI
Notes
Terms
Exercises
Chapter 5 The Applications of Artificial Intelligence in the Financial Field
5.1 The Role of AI and Automation in the Financial Services Industry
5.1.1 Artificial Intelligence Innovations in Finance
5.1.2 Automation Innovations in Finance
5.1.3 Consequences
5.2 7 Ways AI Helps to Digitize the Accounting & Finance Tasks
5.2.1 AI in Accounting and Finance
5.2.2 What AI Machines Can Do in Accounting
5.2.3 Will Accountants Be Replaced by Artificial Intelligence Technology
5.3 The Impact of Artificial Intelligence on International Trade
5.3.1 Specific AI Applications to International Trade
5.3.2 Developing Trade Rules to Support AI
Notes
Terms
Exercises
Chapter 6 The Application of Artificial Intelligence in Public Services
6.1 AI and Transportation Industry
6.1.1 Application Fields
6.1.2 Mature and Commercial Applications
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