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Four characteristics of the artificial intelligence era?

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2020-07-23 14:17:5422028browse

Four characteristics of the artificial intelligence era?

Four characteristics of the artificial intelligence era?

1. Resource allocation penetrates into all areas of social life in the form of people flow, logistics flow, information flow, financial flow, and technology flow. The purpose of restructuring the demand side, supply side, investors and stakeholders is to improve the efficiency of resource allocation.

2. The core elements of industry in the new era have shifted from land, labor capital, and monetary capital to intellectual capital, and intellectual capital is gradually occupying the high end of the value chain.

3. The sharing economy constitutes a new form of social organization. The transfer of special resource use allows a large amount of idle resources to be transmitted in society.

4. The platform has become a symbol of social level, building new channels for providing common solutions, reducing transaction costs, arranging network value systems, diversifying participation, improving efficiency, etc.

Artificial Intelligence

The definition of artificial intelligence can be divided into two parts, namely "artificial" and "intelligence" . "Artificial" is easier to understand and less controversial. Sometimes we have to consider what is possible for humans to create, or whether humans are intelligent enough to create artificial intelligence, etc. But in general, "artificial systems" are artificial systems in the usual sense.

There are many questions about what “intelligence” is. This involves other issues such as consciousness (CONSCIOUSNESS), self (SELF), thinking (MIND) (including unconscious thinking (UNCONSCIOUS_MIND)), etc. It is a generally accepted view that the only intelligence that people understand is their own intelligence. However, our understanding of our own intelligence is very limited, and our understanding of the necessary elements that constitute human intelligence is also limited, so it is difficult to define what "artificially" manufactured "intelligence" is. Therefore, research on artificial intelligence often involves the study of human intelligence itself. Other intelligence related to animals or other artificial systems is also generally considered to be a research topic related to artificial intelligence.

Artificial intelligence has received more and more widespread attention in the computer field. And it is applied in robots, economic and political decision-making, control systems, and simulation systems.

Professor Nelson gave this definition of artificial intelligence: "Artificial intelligence is a subject about knowledge-how to represent knowledge and how to obtain knowledge and use knowledge." And another one from the Massachusetts Institute of Technology in the United States Professor Winston of the college believes: "Artificial intelligence is the study of how to make computers do intelligent work that only humans could do in the past." These statements reflect the basic ideas and basic content of the artificial intelligence discipline. That is, artificial intelligence is the study of the laws of human intelligent activities, the construction of artificial systems with certain intelligence, and the study of how to let computers complete tasks that previously required human intelligence. It is also the study of how to use computer software and hardware to simulate certain human intelligences. Basic theories, methods and techniques of behavior.

Artificial intelligence is a branch of computer science. Since the 1970s, it has been known as one of the world's three cutting-edge technologies (space technology, energy technology, and artificial intelligence). It is also considered to be one of the three cutting-edge technologies (genetic engineering, nanoscience, and artificial intelligence) in the 21st century. This is because it has developed rapidly in the past thirty years, has been widely used in many subject areas, and has achieved fruitful results. Artificial intelligence has gradually become an independent branch, both in theory and practice. into a system.

Artificial intelligence is the study of using computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.). It mainly includes the principles of computer realization of intelligence and the manufacture of products similar to the human brain. Intelligent computers enable computers to achieve higher-level applications. Artificial intelligence will involve disciplines such as computer science, psychology, philosophy and linguistics. It can be said that almost all disciplines of natural science and social science have its scope far beyond 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. It is an application branch of it. From a thinking point of view, artificial intelligence is not limited to logical thinking. Only by considering image thinking and inspired thinking can we 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. Artificial intelligence Intelligent disciplines must also borrow mathematical tools. Mathematics not only plays a role in standard logic, fuzzy mathematics, etc., but when mathematics enters the artificial intelligence discipline, they will promote each other and develop faster.

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