Intelligence is a systematic and ecological concept, involving knowledge and understanding in multiple disciplines and fields, with differences and characteristics in different cultural and historical backgrounds. Intelligence is systematic yet diverse. Different agents have different types, characteristics, and expressions of intelligence. Intelligence has both advanced and ordinary parts. Advanced intelligence includes complex technologies such as deep learning and natural language processing, while ordinary intelligence includes basic pattern recognition, data processing and other tasks. This multi-level intelligence covers different fields and application needs, and has a positive impact on human life and work. Intelligence is divided into a technological part and an artistic part. Intelligence is both materialistic and idealistic, and is a complex system involving the interaction of physical, biological and social factors. This article also explores the ontology, methodology and epistemology of intelligence, focusing on the nature and existence of intelligence, how to build and implement intelligent systems, and the interaction and cognitive process between intelligent agents and the external world. Researches at these three levels are interrelated and jointly promote the development of the field of intelligence. As a representation of the interaction between human-machine environment system, intelligent systems are composed of humans, machines and the environment. The interaction between them is the basis for the operation and development of intelligent systems. Intelligence has different influences on eastern and western cultures. Intelligence is the product of human evolution, shaping human thinking, behavior and civilization, making humans the most creative and adaptable species on earth. Intelligence contains both mathematical and nonmathematical parts, both changing and unchanging parts. The existence of these multiple components enables the intelligent agent to better adapt to and respond to different situations and achieve higher performance and efficiency.

intelligence  /  systematicity  /  diversity  /  human-machine environment system