AI Tutorial

Author: Jin Cong et al.
Publisher:
Publish Date: 2007-01-01
Features: This book comprehensively elaborates on the core content of the field of artificial intelligence with detailed and abundant materials, and provides an in-depth introduction to the main research directions of various subfields. It is a comprehensive textbook. The book is divided into 9 chapters, including Introduction, Knowledge and Knowledge Representation, Classical Logic Reasoning, Uncertainty Reasoning, Search Strategies, Machine Learning, Genetic Algorithms, Data Mining, and Pattern Recognition, covering the fundamental knowledge and basic theories of artificial intelligence. The book not only introduces a large number of basic concepts, ideas, and algorithms in detail but also describes the cutting-edge advancements in each research direction. Each chapter is accompanied by review questions and design problems to guide students in self-study and deepen their understanding and mastery of basic concepts and techniques. The book is written with a gradual progression from simple to complex, making it easy to understand. It is theoretically complete and systematic, emphasizing fundamental principles and basic techniques, supported by numerous examples and figures, making it suitable for teaching and self-study. This book can serve as a textbook or teaching reference for undergraduate and graduate students in the field of information and related disciplines, as well as a reference book for researchers and engineering technicians in related fields.