Playing a maze game using Universal Artificial Intelligence

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Universal Artificial Intelligence is one software program that can do any human task. It can drive a car, fly a plane, play any videogame, play any sports game, clean a house, cook in a restaurant, etc, etc. My UAI doesn't use: machine learning, semantic networks, decision trees, relational graphs, bayesians network for induction/deduction, backward and forward logic, genetic programming, language parsers, grammar rules, rule-based systems, common sense systems, etc, etc. All information is learned from teachers in school and machine learning is not used.

This video demonstrates how a robot thinks while playing prince of persia (a maze game). There are no sound in this video because I wanted the viewers to focus on the robot's thoughts while playing the game.

The objective of the game is to find the main door. The robot has to navigate through rooms of complex mazes. Along the way are obstacles and enemies that will stand in his way.

There are no maps in the game so the robot has to use maps that are fabricated in his mind. He also has to use adaptive skills to defeat enemies and to past obstacles. In the video, the robot uses trial and error to defeat enemies and get past obstacles.