Shaking his head and shaking off the messy thoughts, Xiao Yuan began to pay attention to the book in front of him.

The first page of the bibliography is a table of contents, Xiao Yuan glanced at it, and suddenly made a new discovery, although his memory is good in reality, but it has not reached the level of perversion that he can never forget at a glance and ten lines, if he wants to remember something, he still needs to read it several times, and even need to read it repeatedly, but here, when his eyes swept over the pages, the table of contents has been firmly remembered by him.

"It's not reality after all." Xiao Yuan sighed in his heart, he didn't feel too surprised by this kind of thing, in his understanding, this is just the environment simulated by the base center system, and turning the book by himself is also a situation simulated by the brainwave system in order to improve his own experience, the reason why he can't forget it should be when he turns the book, the bibliographic information is transmitted to his brain by the brainwave system as a data stream, and the principle here is similar to the computer copying and storing information.

According to the information on the catalog, the first chapter of the manual is an introduction to the brain intelligence system, which is also what Xiao Yuan wants to see the most, so he continued to turn the page, saw the introduction of the brain intelligence system on the first page of the first chapter, read it seriously, and raised his head from the book after a while, with great emotion in his heart, and called Ning Lan Dao: "There is this kind of technology, Ning Lan, are you there, I have a question to ask you." ”

"Big brother, what are you looking for me?" This time, Ning Lan didn't walk in from outside the door again, but appeared directly in the room, appeared in front of Xiao Yuan, and asked with a smile.

"Is there a similarity between the design method of this human brain intelligence system and your agent implementation method?" Xiao Yuan asked.

"I guess so." Ning Lan's smart eyes rolled around and replied.

"Yes, yes, no, no, what should be." Xiao Yuan was a little dissatisfied with Ning Lan's answer.

"Hehe, in fact, Ning Lan doesn't know, I'm sorry, big brother." A faint flush appeared on Ning Lan's cheeks, and she smiled a little embarrassedly and replied.

"Forget it, it's not your fault that you don't know, let's go first, I'll read the book for a while." Xiao Yuanjian couldn't ask anything from Ning Lan, so he sent her away and turned back to the first page of the first chapter, although he had memorized all the contents of this chapter, but he still carefully read the introduction to the human brain intelligence system word by word.

The first section of Chapter 1 is an introduction to neural networks in the human brain.

"The human cerebral cortex has nearly 15 billion nerve cells and hundreds of billions of glial cells, and the nerve cells are connected to each other through nerve fibers, presenting a three-dimensional hierarchical arrangement in the cerebral cortex, forming a huge and complex three-dimensional parallel neural network ......"

At the beginning, it was a brief introduction to the ** cerebral cortex, which did not tell too many advanced principles, but stated some very superficial common sense knowledge about the cerebral cortex, tens of billions of neuronal cells and extremely complex nerve fiber connections, and a huge unimaginable three-dimensional parallel network.

The following content describes the model of human thinking, brain neurons are connected by nerve microcurrents, and the current flow between neuronal connections of astronomical orders of magnitude will form a statistical law, and the macroscopic external reflection of this law is human thinking activity.

The so-called memory is that the external stimuli received by the person can form a relatively strong connection network in a specific area of the human brain, and the firmness of these connections varies from person to person, and is also related to the intensity of the external stimulus received by the person, and the number of repetitions, these principles also explain why people's memory is strong and weak, and why it is necessary to memorize things repeatedly to memorize the principle.

"Because of the high complexity and randomness of the human brain neural network, it is very difficult to find a mathematical model that can fully describe the network, and its probability is infinitely close to zero." This is the last sentence given in the first section, for this sentence, Xiao Yuan agrees very much, he remembers that when discussing the development of artificial intelligence with Professor Smith, Smith once said that if someone can abstract the computational model of the human brain one day, then within a few years, there will be artificial intelligence that is completely equivalent to human intelligence, or even surpasses human intelligence.

"VLSI integrates hundreds of millions, if not billions, of transistors into a square inch, and is one of the greatest inventions of mankind to date......"

After the introduction to the computational principles of the human brain, the article enters the second section, VLSI circuits, which are written in the same way as the first section, except for a brief introduction to VLSI and its implementation principles.

"Although the integration level of VLSI has reached the nanometer level, or even higher in the future, and the implementation principles and implementation purposes are different, the design logic of any VLSI can be described by a relatively simple mathematical model......

At the end of the second section, the article lists the mathematical model of a general VLSI circuit, in fact, this model is very complex, Xiao Yuan can only understand this model because of the lack of basic knowledge in this area, and he does not understand the specific details very clearly.

The second section concludes with the content of VLSI and moves on to the third section, the model of the intelligent system of the human brain.

At the beginning of this section, the implementation principle of the human brain is analogous to VLSI circuits, such as comparing brain nerve cells to transistors in VLSI circuits, or a transistor functional unit, and comparing nerve fibers between neuronal cells to circuit connections between transistors in integrated circuits, etc.

On the basis of this analogy, through the generalization of VLSI circuits, a series of mathematical models that are more complex than VLSI circuits and conform to the characteristics of human brain neurons to a certain extent are obtained, which is called the simplified computing model of human brain neural network in the article.

After deriving this model, the article enters the fourth section, which is titled Randomization of the Simplified Computational Model of the Human Brain Neural Network, and the reason why the human brain model is randomized is to further adapt the computational model to the real situation of the human brain neural network.

"In order to make the results of randomization fit the real situation of the human brain neural network to the greatest extent, we tried a variety of randomization methods, and used real people to do a lot of experiments, and finally came to a conclusion that the randomization of the human brain computing model is a correct direction, and what kind of computing model to adopt is related to the knowledge and experience of the experimental subjects before receiving the transformation."

This is the sentence that dominates the whole article at the beginning of the fourth section, although he has already read it once, Xiao Yuan was shocked by the facts expressed in this conclusion again, and a series of questions came to mind:

"A lot of experiments have been done with real people, where did these test subjects go, and are they dead or alive?"

"Why would a researcher at the Brainwave Research Institute say that he and Fat Man are the only two people who meet the requirements of the central system for brainwave access?"

"Am I one of the test subjects?"

“……”