This book takes the relevant knowledge involved in knowledge representation and processing, such as knowledge acquisition, knowledge representation, knowledge reasoning, knowledge transfer and other contents as the main body, and presents a complete knowledge system of knowledge representation and processing. First, this book introduces the development of knowledge representation and processing, related concepts, processes, etc. Secondly, the content of knowledge acquisition is introduced. Thirdly, various methods of knowledge representation, such as logical predicate, production rule, semantic network, ontology, knowledge graph, etc., as well as the deterministic knowledge reasoning and uncertain knowledge reasoning involved in knowledge reasoning are mainly introduced. Finally, knowledge application and knowledge transfer are introduced. Basic teaching materials such as PPT, experiment and application case will be provided free of charge in this book.
This book focuses on basic, systematic and practical, and strives to provide a basic textbook for readers who learn knowledge representation and processing, while providing a simple reference book for readers who apply knowledge representation and processing technology in other disciplines. This book is suitable for undergraduate and graduate students majoring in artificial intelligence, computer science and technology, automation and control. Part of the content also applies to the teaching of higher vocational schools.
