Principles and Applications of Artificial Intelligence

Author: Wang Wenjie, Ye Shiwei (editors)
Publisher:
Publishing Date: 2004-01-01
Features: This book systematically elaborates on the fundamental principles, basic technologies, research methods, and application areas of artificial intelligence, providing a comprehensive reflection of the latest advancements and development directions in the field of artificial intelligence research both domestically and internationally. The book is divided into 16 chapters, covering aspects such as basic concepts of artificial intelligence, structured and unstructured knowledge representation techniques, search techniques and problem-solving, deterministic reasoning and uncertain reasoning, non-standard logic, expert systems, machine learning, neural networks, statistical learning, genetic algorithms and intelligent agents, natural language processing, and more. Each chapter is followed by exercises for readers to practice. The book fully considers the overall structure of the artificial intelligence discipline, emphasizing systematicity, advanced concepts, novelty, and practicality. The content is presented in a clear, logical, and progressive manner, ranging from simple to complex.
This book is written for the course on the principles of artificial intelligence and also covers the content of the "Artificial Intelligence Examination Syllabus" for applicants with equivalent academic qualifications seeking a master's degree in computer science and technology from the National Degree Committee. It can serve as a textbook for undergraduate and graduate students, as well as for working postgraduate students in related disciplines. Additionally, it can be used as a reference book for teachers and in related fields.