Playing Moonwalker using Human Level Artificial Intelligence

Note:  To make this website free to the public please click on an ad to support my sponsors or you can make a tax-deductable donation using Paypal (click on the donation icon on the left).

This video shows a robot playing Moonwalker.  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.

Moonwalker is a game where the player has to navigate in an unknown environment to rescue children.  This robot is playing this level for the first time and has no idea what the level environment looks like.  He uses logic to plan out optimal routes to travel to do his searches.  The player (the robot) will try not to travel in the same areas twice.  The goal is to rescue the children in the fastest time possible.

Along the way, the player encounters enemies.  In order to avoid getting hit or mobbed by a gang, the robot has to kill enemies.  Avoiding enemies is a stupid move because they can always turn around and follow you.  By killing the enemy it eliminates the threat all together.  Also, the game is programmed so that enemies are consistently attacking the player.  In order to survive, the player has to kill enemies.  If he doesn't, the enemies will keep coming and gang up on the player, resulting in death.

In the video, the robot is actually doing multiple tasks at the same time:  killing enemies, rescuing children, and navigating in an unknown environment.  He is making decisions every second that will satisfy all 3 tasks.  Sometimes he might do 2 tasks or 1 task, and it really depends on the current situation.  Other times, he might abandon a committed action/s and generate a new action.  The robot will always pursue actions that will accomplish his goals.

At the ending of the video, the player was stuck and doesn't know what to do.  He searched the entire level environment twice and he can't find the 2 remaining children.  At this point, the robot has to use logic to generate creative ideas to continue with the game.  After thinking for a few seconds, the robot generated an idea and that idea eventual solved the problem.  He was able to rescue the 2 remaining children and pass the level.