The main contents of learning artificial intelligence are as follows:
1. knowledge representation is one of the basic problems of artificial intelligence, and reasoning and searching are closely related to representation methods. Commonly used knowledge representation methods include: logical representation, production representation and frame representation.
2. Search is a problem solving method of artificial intelligence, and the search strategy determines the priority of knowledge used in a reasoning step of problem solving. It can be divided into blind search without information guidance and heuristic search guided by empirical knowledge.
3. Machine learning is another important topic of artificial intelligence. Machine learning refers to the process of acquiring new knowledge in a certain sense of knowledge representation. According to the different learning mechanisms, there are mainly inductive learning, analytical learning and genetic learning. If you are interested, click here to study for free.
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