I Am a Great Scientist

Chapter 52: The dilemma of intelligence

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At this moment, Professor Fang had the same feeling as Chen Jianbin, Wang Quan and Liu Qiang. He was very shocked by Zhou Xing's learning ability and was scratching his head for answering so many of his "problems". At the same time, he was amazed by Zhou Xing's talent and keen knowledge. Observation skills, and his strong ability to understand.

When answering questions for him, Zhou Xing was very clear-cut, drawing inferences from time to time, and coming up with various unique viewpoints, which was refreshing.

Zhou Xing’s foundation in the field of intelligence is very good, and the content of his studies is very complex. Professor Fang sometimes has to think for a long time before he can answer his questions. While answering Zhou Xing’s questions, he feels that his research field has expanded a lot. A breakthrough, this feeling made him both distressed and happy, and he felt like he couldn't stop.

After watching his wife go out, Professor Fang greeted Zhou Xing and said, "Sit down! Let's continue the question just now."

"Yeah!" Zhou Xing nodded and sat down quickly, listening carefully.

Professor Fang continued the interrupted question and continued to explain. "The BP network can learn and persist the open input and output mapping relationships..."

"I understand, the weights and thresholds of the network are constantly adjusted through directional propagation, so that the sum of squared errors is minimized... But this calculation model has refutation and fuzzy calculation strategies!" Zhou Xing frowned and said something felt wrong. :

"That's right! There is indeed a conflict between the precise network computing model and the fuzzy computing model. Alas! The field of intelligence is too complicated. The major in intelligent science and technology has only been open for a few years. I have only studied it longer than you and know more; intelligence In addition to the application of computer science, the field also involves information, control, automation, bionics, biology, psychology, mathematical logic, language, philosophy, etc.; is it to simulate artificial intelligence from a psychological or neurological perspective? Or is it like a bird creature? Does human biology have nothing to do with the research of artificial intelligence in the same way that science studies aeronautical engineering? Can intelligent behavior be described by simple principles (such as logic or optimization)? Many issues are highly controversial, and there is no unified principle so far. , the paradigm guidance is available for research, it is very difficult to make a breakthrough!" Professor Fang's face changed slightly, and he sighed with some exhaustion:

"Professor, don't belittle yourself, and don't be discouraged. There are no scientific research results that can be achieved instantly. As long as we keep climbing, we will one day make breakthroughs in the field of intelligence!" Zhou Xing comforted confidently:

Listening to Professor Fang's emotion, Zhou Xing became more determined in the research direction of the task paper.

In the field of intelligence where there is no final conclusion, researchers will pay more attention to information collection and the birth of new theories. If he can write a high-quality paper, then this task will be 100% a problem.

The only question now is from which aspect should we conduct intelligence research

The mainstream idea in the field of intelligence is to give machines the ability to learn, think, and create. This is true "intelligence."

The basis of "machine learning" is "statistics", "information theory" and "cybernetics", including other non-mathematical disciplines. This type of "machine learning" relies heavily on "experience". Computers need to continuously acquire knowledge and learn strategies from the experience of solving a type of problem. When encountering similar problems, they use experiential knowledge to solve problems and accumulate new experiences, just like humans.

However, how to give machines the ability to think and imagine? How can computers produce the "inspiration" or "enlightenment" of humans in certain situations? As long as the storage space is large enough, the machine can learn countless knowledge, but it must directly change from "quantity" to "quality", and jump from one simple "concept" to another complex "concept".

Zhou Xing couldn't help but fell into deep thought.

Mathematics, language... things that can be given to computers.

After thinking for a long time, Zhou Xing grasped these two variables and thought about how to use them to give the computer the ability to "think". He vaguely grasped a glimmer of inspiration, but it was still wrapped in a veil and could not wait for Zhou Xing. Xing "saw" its appearance clearly, and it naughtily hid back in the mist.

"Yes, scientific research is not easy to achieve. If you have any questions, keep asking! See if I can help you solve all the problems in one go today." Professor Fang looked at Zhou Xing with admiration and expressed his enthusiasm for his learning attitude. Very satisfied, he said proudly:

Zhou Xing woke up from his meditation, and the regret on his face flashed away. Unfortunately, the "inspiration" that had just burst out disappeared after Professor Fang called him like this.

"Okay, Professor!" Zhou Xing nodded happily and continued to ask: "I designed an automated software. Its function is to implement automatic testing... identify objects... and an error occurs during script playback... "

"Well, the key point of this question is that you are dealing with environmental variables..." Professor Fang thought for a moment and answered Zhou Xing:

“…”

Soon, one old and one young continued the pattern of asking and answering questions.

time flies.

An hour passed and Chen Yi, who was shopping for food, came back. He looked at the old and young couple talking and listening, smiled bitterly, and hurried back to the kitchen to cook.

Another hour passed.

Chen Yi prepared the food, set a full table, and walked to the hall, where the two of them were still talking non-stop.

Well, Professor Fang met a talented person today. He actually talked for so long that it was almost past dinner time and he still forgot to eat and sleep.

"Okay, Old Fang, it's time to take a rest! It's already this hour, you have a small appetite, and the young man must be starving!" Chen Yi looked at Professor Fang with a look of disgust, and reminded him:

Hearing this, Professor Fang glanced at the electronic wall clock on Qiang Shang. The time on the electronic clock showed: 19:37.

Professor Fang smiled apologetically at Zhou Xing, stood up, and greeted warmly: "It's already o'clock, let's go, let's go eat, and continue after eating."

"Okay! Professor." Zhou Xing looked at Professor Fang gratefully, then stood up and walked to the dining table.

"Come, come, sit here Xiaoxing." Chen Yi greeted Zhou Xing warmly and sat next to her:

"Thank you, Master!" Zhou Xing thanked him gratefully:

"Young man, you're welcome. It's just us and the old couple who eat together on weekdays. It's rare for someone to accompany us to eat. Since you and Lao Fang are so close to each other, from now on you can treat me as your own family and you can come here for dinner often." Chen Yi said happily:

"Yes, the level of knowledge you have mastered has far exceeded that of your classmates. Your learning progress is different. If you encounter any problems in the future, just come to me!" Professor Fang looked at Zhou Xing and said seriously:

"Yes, just don't bother me when the time comes!" Zhou Xing looked at Professor Fang expectantly and said sheepishly:

"Haha! No, no, my harvest today is not small!" Professor Fang shook his head and laughed heartily:

"Okay, you two, stop talking about this, the food is cold, hurry up and eat!"

"Yes, yes, use your chopsticks! Xiaoxing, you're welcome!"