Metropolis: King of Hackers!

Later, the theory of quantum mechanics was established, and discrete mathematics reached its peak. But it seems that the application of this theory has not yet been accepted by people. It uses quantum concepts to describe the world and uses the uncertainty principle to treat the measurement results.

This seems a bit too difficult for everyone.

The existing continuous mathematics theories have not shown any errors, and can explain the existing calculation theories. People naturally choose simple theories.

The question that Chu Hao considers is to use the theory of continuous mathematics to study human intelligence. Is this the correct way? Is the human brain continuous or discrete?

If the nature of the brain is discrete, then everyone's research on artificial intelligence still stays in the category of continuous mathematics.Can this achieve corresponding results?

In addition, Chu Hao also disagrees with the way people simulate artificial intelligence from cell structure, neuron structure and even DNA structure. Does the study of artificial intelligence from the micro world already complicate the problem?

At the beginning, when people developed and perfected the classical study abroad, they did not consider the reaction between atoms and molecules. What everyone considered was a whole, but only through rough observation and calculation, the theory of classical mechanics was established.

The same is true for chemistry. Chemistry is further subdivided. The reactions and changes between molecules and atoms should be considered. At this time, the law of motion of classical mechanics can basically not play any role. Chemistry has established another set of theories, but it needs to be noted. There is also a structure inside the atom.

The chemical theory system does not consider the internal structure of atoms. With the improvement of human cognition of the natural world, this has penetrated into the interior of the atom. At this time, the movement of classical mechanics has reappeared, and some laws have been replaced by the laws of quantum mechanics.

There are many examples of this, and these phenomena all reveal a conclusion: At different levels of matter, different laws are followed.

That is, when studying these laws, they can be studied separately, and only the laws of a certain level are studied. This does not affect the ultimate goal of people's understanding of nature. In addition, the discovery of the laws of the bottom layer also has a positive effect on the development of the laws of the upper layer.

Chu Hao had thought of this idea a long time ago. Last time I asked Professor Herbert, but the professor did not answer directly.

Chu Hao didn't think clearly at the time, so he didn't ask any more. Later, Chu Hao consulted a large number of materials and documents, and this point of view gradually became clear. He found that when people are doing research, they often unconsciously follow this "research hierarchical" rule.

That is, to study a complex system from bottom to top, the bottom to top can be disconnected and divided into several levels, so that each level becomes its own system.

The upper and lower layers of this system are not the same, and they are not always connected. The relationship between them is discrete.

In the process of hierarchical transformation, some changes have taken place in the basic 2.4 rules.

Those rules that are not transformed with the level change work for any level, and those rules that are transformed with the level change make the rules of each level different and cannot be unified.

Chu Hao found that many scientists who study artificial intelligence are trying to "open up" from the next level to the next level, and they are all doing this "universal" research work. .

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