Principles and Applications of Artificial Intelligence

Author: Cao Qiyin
Publisher:
Publish Date: 2005-02-01
Features: This book is a textbook for an artificial intelligence course, suitable for teaching at the senior undergraduate and graduate levels. It systematically elaborates on the fundamental theories, methods, and new technologies developed in recent years in artificial intelligence, and cites some relevant application examples. Therefore, it can serve as both an introductory textbook and possesses a certain depth, offering valuable inspiration for researchers and developers dedicated to studying and developing artificial intelligence applications. The book is divided into seven major parts: Knowledge Representation; State-Space Search; Reasoning Methods; Knowledge Acquisition; Artificial Intelligence Systems; New Artificial Intelligence Algorithms; Interaction and Communication. These seven major parts are key focus areas in the field of artificial intelligence, and it is hoped that the introduction of these fundamental concepts will be helpful to readers. This book is a textbook for an artificial intelligence course, suitable for teaching at the senior undergraduate and graduate levels. It systematically elaborates on the fundamental theories, methods, and new technologies developed in recent years in artificial intelligence, and cites some relevant application examples. Therefore, it can serve as both an introductory textbook and possesses a certain depth, offering valuable inspiration for researchers and developers dedicated to studying and developing artificial intelligence applications. The book is divided into seven major parts: Knowledge Representation; State-Space Search; Reasoning Methods; Knowledge Acquisition; Artificial Intelligence Systems; New Artificial Intelligence Algorithms; Interaction and Communication. These seven major parts are key focus areas in the field of artificial intelligence, and it is hoped that the introduction of these fundamental concepts will be helpful to readers.