AI Tutorial

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 deeply introduces 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 provides a detailed introduction to a large number of basic concepts, ideas, and algorithms 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 written with a clear and accessible approach, aiming for a gradual progression from simple to complex. The theoretical content is complete and systematic, emphasizing fundamental principles and techniques, supplemented by numerous examples and illustrations, making it easy to teach and learn.
This book can serve as a textbook or teaching aid for undergraduate and graduate students in the field of information and related disciplines, as well as a reference book for researchers and engineering in related fields.
This book comprehensively elaborates on the core content of the field of artificial intelligence with detailed and abundant materials, and deeply introduces 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 provides a detailed introduction to a large number of basic concepts, ideas, and algorithms 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 written with a clear and accessible approach, aiming for a gradual progression from simple to complex. The theoretical content is complete and systematic, emphasizing fundamental principles and techniques, supplemented by numerous examples and illustrations, making it easy to teach and learn.
This book can serve as a textbook or teaching aid for undergraduate and graduate students in the field of information and related disciplines, as well as a reference book for researchers and engineering in related fields.