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Application field of artificial intelligence
Intelligent simulation

Simulation of machine vision, hearing, touch, feeling and thinking mode: fingerprint recognition, face recognition, retina recognition, iris recognition, palmprint recognition, expert system, intelligent search, theorem proving, logical reasoning, games, information induction and dialectical processing.

Subject category

Artificial intelligence is an interdisciplinary subject, which belongs to the three-way cross-discipline of natural science, social science and technical science.

Involving disciplines

Philosophy and cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, uncertainty, bionics, social structure and Scientific Outlook on Development.

Research category

Language learning and processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combinatorial scheduling problems, perception problems, pattern recognition, logic programming, soft computing, imprecise and uncertain management, artificial life, neural networks, complex systems and genetic algorithms, the most critical issue is to shape and improve the independent and creative thinking ability of machines.

application area

Machine translation, intelligent control, expert system, robotics, language and image understanding, gene programming robot factory, automatic programming, aerospace application, huge information processing, storage and management, performing complex or large-scale tasks that combined organisms cannot perform, and so on.

It is worth mentioning that machine translation is an important branch of artificial intelligence and the first application field. However, as far as the existing machine translation is concerned, the translation quality of the machine translation system is far from the ultimate goal; The quality of machine translation is the key to the success of machine translation system. Professor Zhou Haizhong, a mathematician and linguist in China, once pointed out in the article "Fifty Years of Machine Translation": To improve the quality of machine translation, the first thing to be solved is the language itself rather than the programming problem; It is certainly impossible to improve the quality of machine translation by relying on several programs to make a machine translation system; In addition, it is impossible for machine translation to reach the level of "faithfulness and elegance" before human beings have figured out how the brain makes fuzzy recognition and logical judgment on language.