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Understanding natural language using human level artificial intelligence

 

     

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This robot is analyzing a picture using human intelligence. After analyzing the picture, he will be asked several questions. This video is about demonstrating how a human robot thinks while analyzing a picture and answering questions on the picture.

This video shows that when a robot stores a memory of a picture, he doesn't just store the picture, pixel-by-pixel. He stores the observation and logic when seeing the picture. This includes what the robot is focused on at any given moment and panning to the right or left, etc. Also, logical facts during observation are discovered by the robot. These facts, comments, observations, personal likes/dislikes and so forth are also stored in the picture in sequence order.

In order for an intelligent robot to answer questions based on a picture, he has to rewind a videotape in his mind on the picture and to derive facts from this videotape. The robot's brain forgets information as well. If questions were asked about the picture 2 minutes after seeing the picture, the robot will have a detailed memory of the picture. However, if questions were asked 2 months after seeing the picture, the data will be fuzzy, and in some cases, forgotten from memory.

Teachers teach the robot how to analyze a picture. Teachers also teach the robot how to answer questions from the picture. After years and years of examples, the robot's brain creates a universal pathway so that he can analyze "any" picture and answer "any" question from said picture.

No modern AI methods are used here. My robot doesn't use expert systems, machine learning, neural networks, bayesian's network, decision trees, data mining, language parsers, common sense systems, rule-based systems, genetic programming, etc. All information and all cognitive skills are learned from teachers in school.

 

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