Artificial Intelligence: Principles and Applications - (2nd Edition)

Author: Wang Wansen
Publisher:
Publish Date: 2007-01-01
Features: This book is a national-level planning textbook for the "11th Five-Year Plan" of general higher education and a key textbook project in Beijing. The revision of the first edition has made substantial adjustments and updates, systematically elaborating on the basic principles, methods, and technologies of artificial intelligence while comprehensively reflecting the latest developments in the field of artificial intelligence both domestically and internationally. The book consists of 10 chapters, with the first chapter being an overview of artificial intelligence. The remaining content is divided into four parts. The first part covers the three fundamental technologies of deterministic artificial intelligence, including chapters 2, 3, and 4 on knowledge representation, deterministic reasoning, and search strategies. The second part deals with computational intelligence and uncertain artificial intelligence, including chapters 5 and 6 on computational intelligence and uncertain reasoning. The third part covers two important research areas of artificial intelligence, including chapters 7 and 8 on machine learning and natural language understanding. The fourth part covers two important application technologies of artificial intelligence, including chapters 9 and 10 on distributed intelligence and advanced expert systems. Additionally, new artificial intelligence experiments have been added and placed in the appendix. The book also provides free electronic teaching materials and solutions to some exercises for instructors. This book can serve as a textbook for senior undergraduate and graduate students in computer science, automation, communication, electronic information, information management, intelligent science and technology, and other related disciplines at universities. It can also be referenced by researchers, developers, and practitioners in related fields.