AI Tutorial - (Computer Science and Technology)

Author: Jin Cong
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 includes 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 designed to be easy to follow, progressing from simple to complex, and is written in a clear and accessible manner. The theoretical content is complete and systematic, emphasizing fundamental principles and basic techniques, supplemented by numerous examples and illustrations, making it easy to teach and suitable for self-study. This book can serve as a textbook or teaching supplement for undergraduate and graduate students in the field of information and related disciplines, as well as a reference for researchers and engineering in related fields.