We proposed a method to realize Artificial General Intelligence in Ref. [1], and showed that an artificial intelligence that simulates the motion of an object from a video can be automatically generated. Then, useful information was obtained. However, it was necessary to repeat 13 simulations to obtain good result, and the success rate of the simulation was 42%. In this paper, we apply Monte Carlo tree search used in games such as shogi when evaluating predicted alternatives, and show that it is also effective in Artificial General Intelligence.