Predicting the future 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 a videogame.  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.

I think having the ability to predict the future is the most important aspect of human intelligence.  In the video, i show viewers of an example of how the robot predicts the future.  When playing fast paced games like racing or sonic the hedgehog, there is no time to think.  In order to play these fast paced games the robot has to predict the future (general or detailed or both).  If the robot can predict future events he can anticipate future obstacles.  If the robot can predict future obstacles, he can select options to avoid obstacles.

This surfing game is just a simple example of how the robot predicts the future.  If the robot was to play sonic the hedgehog, there is no way he can beat the game without predicting future events.  The reason why is because the scenes in the game move really fast.  The robot will not have time to think and take action during real time.  His brain has to have a set of future actions that are generated and ready to go before future events happen.

For example, in the video, at the ending, the robot was able to predict future actions before future events happened.  The scene is a roll of snakes lined up on a stream.  The first segment of snakes are wide apart and the player can jump over these snakes, even with high speed.  The second segment of snakes are compact, and they require slow speed in order to jump over.  The robot has to understand that and to slow down prior to encountering segment2 snakes.  The scenes in the game move so fast that if the robot doesn't know there are compact snakes ahead, he won't be able to slow down in time.  The robot needs to know there are compact snakes ahead when encountering the first segment of snakes.  This gives the robot time to slow down the player and to avoid losing a life.

How exactly does the robot predict the future?  It's very hard to predict the future for unknown games.  However, the robot will be using similar games to predict the future for unknown games.  If the robot has played a game numerous times, he will predict the future based on pathways (experiences) in memory.  If scenes in a videogame doesn't change much and they look the same every time, the robot can extract that future event and use it to understand what's going to happen in the future.  The robot's brain is actually filtering out noises and focusing on important objects in the future pathways.  He can extract a general future event or a detailed future event.  Usually the robot generates both general and detailed future pathways.

After predicting the future, the robot can make decisions on what type of actions to take in the future.  By the way, the robot predicts the future every second (like an iterative loop).  He is creating future actions, modifying future actions, and aborting future actions based on the current environment.

The robot learned how to predict the future based on lessons learned from teachers.  Teachers has taught the robot simple and complex examples of predicting the future.  Some future prediction skills are based on personal experiences or knowledge from books.  The robot takes this future prediction skill and apply it to playing videogames.

As the robot practices more and more, the intelligent pathway in the robot's brain become more optimal.  The pathways will store the exact actions to take at any given moment, the obstacles that will happen, the exact logic and rules to follow at any given moment, and so forth.  After many practices the robot has the knowledge to play a game optimally, based on beneficial goals.  The more practice he goes through the better he gets.