"Introduction to Artificial Intelligence, 2nd Edition" systematically expounds the basic theory, basic technology, research methods and application fields of artificial intelligence, comprehensively reflects the development of the field of artificial intelligence research, and makes choices about some traditional contents based on the development trends of artificial intelligence, such as a detailed introduction to machine learning.
"Introduction to Artificial Intelligence, 2nd Edition" is divided into 8 chapters, covering the basic concepts of artificial intelligence, knowledge engineering, deterministic reasoning and uncertainty reasoning, search and optimization strategies, machine learning, artificial neural networks and deep learning, as well as pattern recognition, natural language processing and multi-agent, etc. There are exercises at the end of each chapter for readers to practice.
"Introduction to Artificial Intelligence, 2nd Edition" fully takes into account the development trends in the field of artificial intelligence, pays attention to systematicness, novelty, practicality and readability. The content is from shallow to deep, step-by-step and clear.
"Introduction to Artificial Intelligence, 2nd Edition" is suitable as a textbook for undergraduates and graduate students majoring in computer science and other related majors. It can also be used as a reference book for relevant scientific and technological personnel.
Reader comments
This book is comprehensive and systematic, covering multiple aspects of artificial intelligence, including basic concepts, knowledge engineering, reasoning, search, machine learning, etc. The writing style is clear and organized, from shallow to deep, and is friendly to beginners. I particularly like the part about machine learning in the book. It is rich in examples and makes the theoretical knowledge easier to understand. In short, this is a very practical introductory book on artificial intelligence.
This book is comprehensive and systematic, covering multiple aspects of artificial intelligence, including basic concepts, knowledge engineering, reasoning, search, machine learning, etc. The writing style is clear and organized, from shallow to deep, and is friendly to beginners. I particularly like the part about machine learning in the book. It is rich in examples and makes the theoretical knowledge easier to understand. In short, this is a very practical introductory book on artificial intelligence.