Artificial Intelligence and Expert Systems

Author: Yin Chaoqing
Publisher:
Publish Date: 2002-01-01
Features: Artificial intelligence is an interdisciplinary field that has developed over more than 40 years. It aims to study how to use modern tools such as computers to design systems that simulate human intelligent behavior. Among the many applications of artificial intelligence, expert systems are a representative intelligent application system that has evolved over the past 30 years. They aim to study how to design knowledge-based computer program systems to simulate the ability of human experts to solve specialized problems. Expert systems are one of the most active branches of artificial intelligence and are the main driving force behind its development. This book comprehensively elaborates on the fundamental theories, methods, and construction techniques of expert systems in artificial intelligence. The book consists of 8 chapters, which can be divided into two parts. The first part includes Chapters 1 to 4, primarily introducing the three fundamental technologies of artificial intelligence: knowledge representation, reasoning, and search. The second part includes Chapters 5 to 8. Among them, Chapter 5 provides a detailed introduction to the development methods and techniques of expert systems, including knowledge bases, inference engines, explainers, and knowledge acquisition, as well as artificial intelligence languages and expert system tools. Chapter 6 discusses the theories and methods related to the uncertainty of knowledge and uncertain reasoning, including probabilistic reasoning, credibility reasoning, and fuzzy reasoning. Chapter 7 explores various machine learning methods and their application examples. Chapter 8 introduces relevant models, learning algorithms, and application examples of artificial neural networks. This book is characterized by its systematicity, novelty, and practicality. It can serve as a textbook for undergraduate and graduate students in computer science, automation, management science and engineering, and other related fields, as well as a reference for relevant scientific and technical personnel.