Playing a racing game using Human Level Artificial Intelligence

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This video shows a robot playing a racing game. 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.

My robot doesn't use: planning programs/heuristic searches (used by MIT and Stanford University), Bayesian's probability theories for decision making, Bayesian's equation for induction and deduction, semantic networks for natural language understanding, predicate calculus, common sense systems, first-order logic, rule-based systems, genetic programming, or MACHINE LEARNING.

During the race, the robot has to identify where the track areas are, avoid obstacles, avoid other racers, drive using the fastest routes, and manage options. The robot is considering all these task when making decisions. He makes decisions based on what benefits him in the future. The robot's goal is to beat the entire game and he will make decisions (every second) that would lead him to accomplishing his goal/s.

Also, the robot is aware of his immediate environment (360 degrees). Not only is he aware of what he sees and senses, but he is aware of things behind him and to the far left/right. His mind is keeping track of where drivers are and where danger zones are, even if he doesn't see them.