Scientists observe in nature and are not actively involved in the observation of nature. When doing nature observations, scientists do not try to manipulate or change what is happening. The purpose of such an experiment is to create a detailed record of the perceptible association between the event where the event occurred and the event without controlling the result. Naturally, the purpose of nature observation is to coordinate data collection so that observers can understand what is going on, but they are not so important or important and they become a focus or a problem .
In stark contrast to the vast amount of data and observations it is difficult to find explanations that are difficult to change. This observation has an important influence on artificial intelligence. First, I will reveal the terrible confusion between interpretation and observation. Please observe well. Lots of bad explanations. However, it is difficult to change the explanation, good things are very rare. Secondly, there is a standard for proper interpretation, which in turn provides a means to look for and evaluate them. But, of course, if you need to create a practical and effective solution, this is just a topic. Judea Pearl is a pioneer in the development of stochastic methods of artificial intelligence and Bayesian networks, and is a practical artificial intelligence theorist. In his book on causality, he reminds us of the basic "intuition" behind artificial intelligence.
Scientists observe in nature and are not actively involved in the observation of nature. When doing nature observations, scientists do not try to manipulate or change what is happening. The purpose of such an experiment is to create a detailed record of the perceptible association between the event where the event occurred and the event without controlling the result. Naturally, the purpose of nature observation is to coordinate data collection so that observers can understand what is going on, but they are not so important or important and they become a focus or a problem .