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 reading kids book

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Reading kids book using human level artificial intelligence

 

     

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In the video, the robot is reading a kid's book. This book has no pictures and the robot is reading the book for the first time. While the robot is reading the book, images, sound, taste, touch and smell (5 sense data), etc is being activated in the robot's conscious. These images and sound form a fabricated movie based on the words and sentences read. This fabricated movie is the true meaning behind the words and sentences read.

In other words, the robot is understanding the book based on a primitive movie in his mind. When the robot is asked questions about the book, he will use the fabricated movie in his brain to answer questions. For example, if the robot was asked to summarize the plot, he will extract specific scenes from the fabricated movie to answer the question. In another example, if the robot was asked who the main character in the story was, he will extract a picture of the main character and describe him. This picture of the main character wasn't part of the text in the book, it was data that was made up by the robot's brain.

Thus, when a robot reads a particular book, it's conscious will extract and manipulate images based on the type of book being read (isn't that remarkable). For example, if the robot is reading the greatest treasure for the first time (the book in video), he will fabricate what peter (who is the main character) might look like. Obviously, his very young, is a cartoon character and dresses really colorful. the robot's brain does all the hard work and makes a fabricated movie based on the words read from the book.

Also, while the robot is reading a book, he has to follow rules of reading. Things like: read from left to right, when you reach the end of a page, flip to the next page, when you see a comma, pause for a second, etc. These rules are followed while the robot is reading a book. Furthermore, the instuctions to read a book is different from the instructions to read a comic book. Or reading in Chinese is different from reading in English. The robot's conscious give instructions to read any type of book.

The big question is, how exactly does the robot's brain create this fabricated movie? The answer is lessons from teachers in school. When teachers read books to students, she reads the sentences out and provide images for the students to look at. Usually, the visual images on the book has direct relations to the sentences on that page. As the students see/hear the sentences and given the images that are associated with the sentences, the student forms meaning to words/sentences in memory.

The words/sentences are fixed objects and the images provided from the words/sentences is the meaning. The robot's brain averages everything out and when the robot reads a word/sentence, the meaning activates in memory. Thus, when the robot reads a book, a linear fabricated movie is formed.

I got this idea from grade school. I had problems with reading and was put in a special eds class. The teacher would go to the library and each student would put on earphones and look at a monitor (a monitor with a simple light in the back). The earphone will read a word or sentence, and the monitor would flash an image or flow chart. For example, a sentence like, the cat jumped over the box would be heard and on the monitor an image of a cat his jumping on a box, with an arrow pointing to the direction of the jump. Basically, the machine was used because they wanted me to associate words/sentences with images. When I read a word/sentence, an image pops up in my head.

Another question is, how exactly does the robot answer questions from the story? The answer is obvious, from lessons in school. Teachers teach the robot how to answer questions. The teacher provides the questions and also provide the answers. The teacher will give logical steps from the question to the answer. The robot's brain will average out many similar examples and form a universal way of answering questions from a story. Universal pathways located in the robot's brain contains patterns to search for info., to compare information, to extract data from images found, etc.

This method to learn natural language is much simple and much more accurate than the current NLP (natural language processing). The current NLP uses machine learning to learn things, which require a programmer to give inputs and desired outputs. Current NLP also uses a wide variety of AI methods, like semantic networks, relational graphs, bayesian's probability theories, langauge parsers, and so forth. Using the method above, my robot doesn't need a semantic network, or language parsers, or grammar rules. And it doesn't use machine learning to learn the meaning to words/sentences. The robot learns meaning to words/sentences by watching teachers and tv shows like Sesame Street.

 

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