How is artificial intelligence achieved? How is artificial intelligence produced?

Artificial intelligence will involve disciplines such as computer science, psychology, philosophy and linguistics. It can be said that it covers almost all disciplines of natural science and social science, and its scope has far exceeded the scope of computer science. If you don’t know much about it, you can read the following article introduction. What I want to share with you is what problems artificial intelligence mainly solves, which most friends want to know? Including how artificial intelligence is achieved. Are you interested?

Contents of this article

1. How is artificial intelligence achieved?

2. How is artificial intelligence generated?

3. What problems does artificial intelligence mainly solve?

How is artificial intelligence achieved?

Artificial intelligence is achieved in two ways:

1. Use traditional programming techniques to make the system appear intelligent, regardless of whether the methods used are the same as those used by humans or animals. This method is called engineering method, and it has produced results in some fields, such as text recognition, computer chess, etc.

2. Simulation method, which not only looks at the effect, but also requires that the implementation method is the same or similar to the method used by humans or biological organisms. Genetic algorithms and artificial neural networks are both simulation methods.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce new intelligent machines that can respond in a manner similar to human intelligence.

How Artificial Intelligence Comes About

Artificial intelligence is a discipline that studies how to use computers to simulate certain human thinking processes and intelligent behaviors. It mainly includes the principles of computer intelligence, the manufacture of computers similar to human brain intelligence, and the realization of higher-level applications of computers. Artificial intelligence will involve disciplines such as computer science, psychology, philosophy, and linguistics. It can be said that it covers almost all disciplines of natural sciences and social sciences, and its scope has far exceeded the scope of computer science. The relationship between artificial intelligence and thinking science is the relationship between practice and theory. Artificial intelligence is at the technical application level of thinking science and is an application branch of it. From the perspective of thinking, artificial intelligence is not limited to logical thinking. It is necessary to consider image thinking and inspiration thinking to promote the breakthrough development of artificial intelligence. Mathematics is often considered to be the basic science of many disciplines. Mathematics has also entered the fields of language and thinking. The discipline of artificial intelligence must also borrow mathematical tools. Mathematics not only plays a role in standard logic and fuzzy mathematics, but also enters the discipline of artificial intelligence. They will promote each other and develop faster.

What problems does artificial intelligence mainly solve?

The problems that artificial intelligence needs to solve are mainly the following aspects:

1. Recognition process: the information input from the outside world is translated into conceptual logical information, and dynamic and static images, sounds, voices, texts, touch, taste and other information are converted into formalized (information storage form in the brain) conceptual logical information.

2. Intelligent computing process: input information stimulates self-learning, information retrieval, logical judgment, decision-making, and produces corresponding responses.

3. Control process, translating the required output reactions into body movements and media information.