Principles of Artificial Intelligence

Author: Shi Chunyi
Publisher:
Publish Date: 1993-10-01
Features: This book introduces the basic content of artificial intelligence principles, including four parts: automatic reasoning, knowledge representation, machine learning, and natural language understanding. The book is divided into ten chapters: it discusses resolution methods, uncertain reasoning methods, non-monotonic reasoning methods, qualitative reasoning methods, knowledge representation methods, the basic concepts of machine learning, as well as instance-based and explanation-based learning methods, and finally discusses the grammar and semantic analysis of natural language. This book can be used as a textbook for senior undergraduate and graduate students in computer science departments who are taking the "Principles of Artificial Intelligence" course. It can also serve as a reference for teachers and researchers engaged in computer science research. This book introduces the basic content of artificial intelligence principles, including automatic reasoning, knowledge representation, machine learning, and natural language understanding. The book is divided into ten chapters: it discusses resolution methods, uncertain reasoning methods, non-monotonic reasoning methods, qualitative reasoning methods, knowledge representation methods, the basic concepts of machine learning, as well as instance-based and explanation-based learning methods, and finally discusses the natural language.