Classification of databases is making it possible to create more complex artificial intelligence.

The idea of sorting databases under certain topics is taken from the library. In libraries, every book is sorted under certain main classes. That makes it easier to find the right books from shelves. Same way if all actions of the AI are sorted under certain classes that makes it easier to find those databases. Databases are the heart of artificial intelligence. In the tables of databases is every single action. What the AI should do.

So those databases should sort under by topics because that thing makes it the system easier to find the right tables. Otherwise, the system must check the entire database. And that thing takes time. If the databases are sorted under main classes that save time.

One of the ways to make the database easier to drive is sorting the data or data boards below certain attributes. If we are thinking about the robot that plays tennis the sorted database means that when the robot is ordered to play tennis. Robot searches first, the table where the needed data locating. When it finds that tablet. It can search for everything that it needs. From the sub-tables that are stored below the topics "tennis".

Sorting the database under certain topics is making the AI more powerful. It also limits the number of tablets that are needed to compile when it gets some mission. The idea is similar to the library. When the staff is searching data from the library they would not look for every single book. All books are sorted in classes and then they are easier to find. If somebody wants the geography book. The staff must find the main class "geography". And then the book is easier to find.

Same way if the database is sorted under the classes where is the subtables where are the needed actions for the class that means that the AI must not compile the entire database all the time. When the operator of the robot orders that the robot should go to play tennis the robot might look for its location by using the GPS. Then it might see from the map where is the tennis field.

Then the robot might ask the question, does it need to take a club with it? Or is it at the tennis field? Then the AI recognizes from the map that there are streets between its location and tennis field. So the robot must get the street walking class to its memory. And there are all needed actions stored in those databases.

Then it can go to the tennis field and download class "tennis-playing" to its memory. That example introduces how sorting and classification of data are making the work of AI easier than compiling every single database or tablet whenever our robot is needed to make something.

Sort and classification of the databases make it possible to drive more complex databases and AI than some regular linear programming modes. Classification makes it possible that the use of the databases is more flexible than in a normal linear model of programming.

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