One of the most common misconceptions is that people mistake cause and effect as interchangeable. A cause is often seen as an effect, or an effect is mistaken for a cause. The most well-known phenomenon demonstrating this is the halo effect — a situation where specific characteristics of an object influence how we judge other traits. For example, you might like that person’s character because you like one of their qualities, not because you like the person as a whole. This misunderstanding is a common causal error. If you like someone, you tend to think everything about them is good; if you don’t like someone, you might overlook or dislike everything about them. It’s not that you dislike the person for one reason and like them for another—it’s simply how the human heart works. Gaining someone’s favor, therefore, can be an arduous and painful process. - Joseph’s “just my thoughts”
There is a study called “computational psychiatry”. This study will help patients suffering from depression or hallucinations by studying AI algorithms such as “reinforcement learning” among computer AI functions. Machines are examples of human treatment. Conversely, people wonder if AI-learning humans can be depressed like humans. The answer is “yes”. It is a fact that scientists consider it possible. People thought human emotion was something special. However, emotions can be replaced with symbol combinations promised as signals in the algorithm world. In other words, the emotion on the machine is “selection”. - Joseph’s “just my thoughts”