Hello,

I have been trying to make an AGI program that passes spatial reasoning IQ 
tests such as Raven Progressive Matrices.

Spatial reasoning IQ tests have shapes and colors. Our minds cannot manipulate 
the shapes exactly in the correct position. A certain degree of fuzziness is 
inevitable. 

I need to implement simple yet robust spatial-temporal reasoning algorithms yet 
ignore the small fuzziness. 

First, I need the program to differentiate between colors.
Second, I need the program to differentiate between shapes (whether it is a 
square or a circle). Some squares will look more like a circle and vice versa. 

In the Raven Progressive Matrices, the program need to actually visualize the 
matrix. The program must also rotate and move objects. I know how our minds 
perform spatial-temporal reasoning. It just manipulates them. Some people are 
normal yet they have lower IQs than mentally retarded people. Some autistic 
people have high IQs. So I think common sense is unessential for 
spatial-temporal reasoning.

I am now going to write my reasoning program and see if it works.

Sure, I can write a program to differentiate between a square and a circle, but 
it is not AGI. I need the program to automatically train and recognize 
different shapes. But I do not know any methods for the program to 
automatically train itself to tell whether a shape is a square or a circle. 
What methods should I use for automatic training? This may be a very easy 
question but I do not know the solution. thanks




 
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