What are the implementation methods of artificial intelligence

There are 2 different ways in which artificial intelligence is implemented on a computer:

One is to use traditional programming techniques to make the system appear intelligent, regardless of whether the method used is the same as that used by the human or animal organism. This method is called the engineering approach, and it has been used in areas such as text recognition, computer chess, etc.

The other is the modeling approach, 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. Generic Algorithm, or GA) and artificial neural networks.

Artificial Neural Network (ANNs) are of the latter type. Genetic algorithms mimic the genetic-evolutionary mechanisms of humans or organisms, while artificial neural networks mimic nerve cells in the human or animal brains.

Ways of activity. For the same intelligence, both methods can usually be used. With the former method, it is necessary to manually specify the program logic in detail, and if the game is simple, it is still convenient.

If the game is complex and the number of characters and space for movement increases, the corresponding logic will be complex (exponentially growing), and manual programming will be cumbersome and error-prone. Once an error occurs, it is very troublesome to modify the original program, recompile, debug, and finally provide a new version or a new patch for the user. In the latter approach, the programmer designs an intelligent system (a module) for each character to control, and the intelligent system (module) begins to understand nothing, like a newborn baby, but it learns, gradually adapts to the environment, and copes with complex situations.

This system also makes mistakes at first, but it learns lessons that can be corrected the next time it runs, at least not forever, without the need to release new versions or patches. Using this method to implement artificial intelligence requires programmers to have a biological way of thinking, which is a little more difficult to get started. But once inside, it can be widely used.

Since this method does not require detailed rules for the character's activities, it is usually more labor-intensive than the previous method when applied to complex problems.

Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in the field of artificial intelligence includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.

Artificial Intelligence (AI) in English. It is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and can produce a new intelligent machine that can respond in a similar way to human intelligence, and the research in this field mainly includes robots, language recognition, image recognition, natural language processing and expert systems.

Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application field is constantly expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Although AI is not human intelligence, it can think like a human and may eventually surpass human intelligence.

Advantages: 1. In terms of production, more efficient and low-cost machines and artificial intelligence entities replace various human abilities, and human labor will be greatly liberated.

2. The problems of the human environment will be improved to a certain extent, and fewer resources can meet greater needs.

3. Artificial intelligence can improve the ability of human beings to understand and adapt to the world.

Disadvantages: 1. Artificial intelligence replaces human beings to do all kinds of things, and the unemployment rate of human beings will increase significantly, and human beings will be in a state of helplessness to survive.

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The main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing systems, natural language understanding, computer vision, intelligent robots, automatic programming, etc.

The machine used to study the main material basis of artificial intelligence and the machine that can realize the artificial intelligence technology platform is the computer, and the development history of artificial intelligence is linked to the development history of computer science and technology. In addition to computer science, AI also involves a wide range of disciplines such as information theory, cybernetics, automation, bionics, biology, psychology, mathematical logic, linguistics, medicine, and philosophy.

Extended Materials. Intelligent simulation: simulation of machine sight, hearing, touch, feeling and thinking mode: fingerprint recognition, face recognition, retina recognition, iris recognition, palmprint recognition, expert system, intelligent search, theorem proof, logical reasoning, game, information sensing and dialectical processing.

Discipline: Artificial intelligence is a marginal discipline, which belongs to the three-way interdisciplinary discipline of natural science, social science and technical science.

Disciplines involved: Philosophy and Cognitive Science, Mathematics, Neurophysiology, Psychology, Computer Science, Information Theory, Cybernetics, Indefiniteness, Bionics, Social Structure and Scientific Outlook on Development.

1. Computer vision

People know the world, 91% of it is through vision. Similarly, the ultimate goal of computer vision is to enable computers to recognize and understand the world through vision like people, it is mainly through algorithms to recognize and analyze images, and the most widely used applications of computer vision are face recognition and image recognition. Related technologies include image classification, object tracking, and semantic segmentation.

2. Machine learning

The basic idea of machine learning is that an algorithm that learns data from a computer to improve its own performance. The 4 most important types of problems that need to be solved in machine learning are clustering, classification, and dimensionality reduction. Machine learning can be classified according to learning methods, which can be divided into:

Supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.

3. Natural language processing

Natural language processing (NLP) [30] refers to the ability of computers to recognize and understand human textual language, which is an interdisciplinary discipline between computer science and human linguistics. Natural language is the biggest difference between humans and animals, and human thinking is based on language, so natural language processing represents the ultimate goal of artificial intelligence. Natural language processing is essential for machines to be truly intelligent.

Natural language processing is divided into seven directions: semantic analysis, information extraction, text mining, information retrieval, machine translation, question answering system and dialogue system. There are five main types of natural language processing techniques, namely classification, matching, translation, structure, and sequence decision-making process.

4. Speech recognition

Nowadays, the use of machines by human beings has reached a very high state, so people have also relied on the convenience of machine use. The way in which language dominates the machine is a very convenient form. Speech recognition technology is the process of converting human speech input into a language that can be understood by a machine, or into natural language.

Introduction: As technology becomes more and more advanced, a new term appears in front of people's eyes, called artificial intelligence. This word is relatively new, so what is artificial intelligence, how is artificial intelligence realized, and how can artificial intelligence be realized, I will analyze it for you today.

The understanding of artificial intelligence can be divided into two meanings, and the word can be understood separately, that is, artificial and intelligent. Artificial intelligence is to use computers to imitate some of the thinking processes of people, and then some intelligent behaviors. By simulating these, we realize the principle of intelligent work, and then make intelligent machines that are similar to human ideas.

You can implement higher-level applications, and these are just one of its application branches. It is also a new technical science, and its theoretical methods and techniques are completely new. People can use it to implement some technologies that they can't achieve on their own.

There are two main ways to realize public functions, one is to use the most traditional way to code design. Coding design is to make the system appear more intelligent through some technology, and then it does not consider whether the method used is the same as that used by humans or animals. This method is equivalent to some text recognition and a computer can play chess, and this is just one of the methods.

The second method is a bit more difficult, because it not only depends on the effect that is presented later, but also requires that the method of achieving it be similar to that of humans. This method is a way of simulating people's thoughts. By combining the computer with the human mind, and then achieve the same intelligent effect.

Like online games, it will be simpler if the game is simple. If the game is complex, the number of characters and the amount of space for movement will increase, and it will also increase some difficulty. If you want to realize artificial intelligence, you can do it in two ways.

We should continue to research artificial intelligence to break through bottlenecks, and we can also learn more books about artificial intelligence, learn more about the characteristics of artificial intelligence, and take the initiative to accept artificial intelligence in our lives.

We need a comprehensive development network, so that it can be better realized, and artificial intelligence can also solve some problems in life and make the pace of life faster.

Breakthrough in science and technology, strengthen research. Writer Yang Daxia Yang Ke revealed.

Constantly improve our own technology, to apply these technologies to daily life, we will be more intelligent in the future.