What is the working principle of artificial intelligence?

The working principle of artificial intelligence is that the computer will collect facts about a situation through sensors (or manual input). The computer compares the information with the stored information to determine its meaning. The computer will calculate various possible actions according to the collected information, and then predict which action will have the best effect. Computers can only solve the problems allowed by the program, and do not have the analytical ability in the general sense.

Introduction:

Artificial Intelligence, abbreviated as AI in English, is a new technical science to study and develop the theories, methods, technologies and application systems that simulate, extend and expand human intelligence. Artificial intelligence is a branch of computer science, which tries to understand the nature of intelligence and produce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system. Artificial intelligence is a new technology science that studies and develops the theories, methods, technologies and application systems that simulate, extend and expand human intelligence. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have been expanding, but there is no unified definition. Artificial intelligence is a simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human beings, or it may exceed human intelligence. But this kind of self-thinking advanced artificial intelligence still needs breakthroughs in scientific theory and engineering.

Scientific introduction:

1, practical application

Machine vision: machine vision, fingerprint recognition, face recognition, retina recognition, iris recognition, palmprint recognition, expert system, automatic planning, intelligent search, theorem proving, games, automatic programming, intelligent control, robotics, language and image understanding, genetic programming, etc.

2. Subject category

Artificial intelligence is an interdisciplinary subject, which belongs to the intersection of natural science and social science.

3, involving disciplines

Philosophy and cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, uncertainty theory.

4. Research scope

Natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combinatorial scheduling problem, perception problem, pattern recognition, soft computing of logic programming, imprecise and uncertain management, artificial life, neural network, complex system, genetic algorithm.

5. Consciousness and artificial intelligence

Artificial intelligence is essentially a simulation of human thinking information process.