Share 6 classic game theory stories from the Internet 1、 Prisoner's dilemma The story is that two suspects were caught by the police after the crime and were locked in different rooms for interrogation. The police knew that the two men were guilty, but they lacked sufficient evidence. The police told everyone that if they did not confess, they would be sentenced to one year each; If both confess, each will be sentenced to 5 years; If one of the two confesses and the other does not, the one who confesses will be released, and the one who does not confess will be sentenced to 20 years. As a result, every prisoner faces two choices: to confess or not to confess. However, no matter what the partner chooses, the best choice for each prisoner is to confess: if the partner does not confess, let him go if he confesses, and if he does not confess, he will be sentenced to one year. Confession is better than not confessing; If the partner confesses, if he confesses, he will be sentenced to 5 years. If he does not confess

preface Relocated the direction of the next blog. It is intended to record something learned, and can be used as notes and memos. Unfortunately, I was unable to record the interesting algorithms, classical models, and various interesting games and stories that I encountered when I participated in the ACM contest and mathematical modeling contest in college. To this end, from today on, I will share some very interesting things. Today we share the "Butter Cat Paradox". The materials are taken from Baidu Encyclopedia. Butter Cat Paradox Buttered Cat Theory, also known as Buttered Cat Theory, is a joke that humorously combines two kinds of folk common sense. The common sense is: (1) A cat jumps in mid air and always lands with its feet. (2) According to Murphy's Law (that is, if the situation is likely to deteriorate, regardless of the possibility

I saw a very interesting question and answer on Zhihu, about machine learning and training models, to share with you   Zhihu Q&A link: Why does machine learning need training? What is the specific model trained?   The translator of Zhihushang is anonymous, and the original text is transferred from Quora link: How do you explain Machine Learning and Data Mining to non Computer Science people?     Why does machine learning need training? What is the specific model trained?   Buy Mango Imagine that one day you buy mangoes. The supplier placed a cart of mangoes. You can just choose, and then the store will charge according to the weight of the mango you choose. < img src=” https://pic3.zhimg.com/c1de3b4b09ccb72e...