The Human Brain versus Computers

Human Brain and Computer During the past few decades, I've seen how computers evolve and challenge the human brain. We saw the computer do complicated work like rocket launch and analysis from space. But the human brain is responsibility, thinking, emotion, creativity and other qualities that make us human. Therefore, the brain must be more complex and complete than any computer. Furthermore, even if the brain creates a computer, that computer is not considered to be superior to the brain.

The human brain is neither like a computer nor a computer like a human brain. Computers can perform a "neural network" process, but they are inspired by cranial nerve cells, but are not self-organizing and adaptive. Furthermore, machine learning teaching a computer to operate in a manner not explicitly programmed to execute is not a substitute for human learning. It turned out that machine-based knowledge far exceeds the human brain's ability to memorize knowledge, understanding and understanding. Therefore, people tend to rely more on machine-based knowledge and this knowledge is always "online" accessible, so there is the additional advantage of not having a reservation.

Scientifically, this is about the difference between the human brain and the brain of the robot, that is, human intelligence and artificial intelligence. That is why scientists began to reverse engineer human thinking by transforming the cognitive model used by human intuition into a computational model that the robot can use. This is a good example. The robot learned strategies to adjust patient care from hospital units from medical professionals. Specifically, I will learn about decision making strategies to decide when and where to move patients between room types and how to assign nurses under different workload conditions. This technology has been experimentally evaluated, and the robot provides decision support to nurses and doctors when deciding patient care. Nurses and doctors are following the recommendations of robots at a rate of 90% and strongly suggest that the robot has acquired a high quality mission strategy.