Playing Super Street Fighter 4 (Ryo vs Viper) using Human Level Artificial Intelligence

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This video shows a robot playing Super Street Fighter 4. There are no sound in the video because I wanted to show the viewers what the robot is thinking while playing the game. The flashing text and freeze frames are the internal thoughts of the robot and not instruction text for the viewers. These internal thoughts describe the details of how the robot produce intelligence.

In this video the player is playing an opponent he has never played before. At the beginning, the robot is using common knowledge of playing different characters. As he plays the game, the robot learns the opponent's moves, strategies, and weaknesses. It is through trial and error that the robot learns the optimal skills to beat an unknown opponent.

This is important because it shows viewers that the robot has the ability to adapt his fighting style to an unknown opponent. Not only can he defeat Viper in the game, but any character in the game (known and unknown). As stated before, machine learning is not used here. In fact, if you want to build a robot that has universal AI, you can't use machine learning. The robot in the video was able to teach itself how to defeat an unknown opponent. It was through trial and error the robot learned the skills to fight and ultimately defeat the opponent.