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.

Schrödinger's cat: and the limits of that idea.

"In quantum mechanics, Schrödinger's cat is a thought experiment concerning quantum superposition". (Wikipedia, Schrödinger's cat). But the same thing can use as model for many other thought experiments. Sooner or later, or at least in the ultimate end of the universe, the Schrödinger's cat will turn into wave movement. The information that this cat involved exists but the cat does not exist in its material form. The information doesn't ever vanish. It just turns its shape. We are all trapped in the universe and time. The universe is the space that is entirety to us. There are no confirmed other universities. But the multiverse is a logical continuum for the expanding galactic megastructures. The problem with natural things is this. They are black and white. They exist or do not exist. Could there be something, that exists and not exists at the same time? Scrödinger's cat is thinking experiment about case their cat is not dead or not alive. But in this...

The string theory offers a new way to calculate Pi.

"Scientists discovered a new series for pi through string theory research, echoing a 15th-century formula by Madhava. By combining Euler-Beta Functions and Feynman Diagrams, they modeled particle interactions efficiently. Credit: SciTechDaily.com" (ScitechDaily, String Theory Unravels New Pi Formula: A Quantum Leap in Mathematics) People normally think that. The pi is the ratio of the circumference circle's circumference to the circle's diameter. The Pi is a mathematical constant 3.14159..., the endless decimal number. The Pi is interesting because developers can use that decimal number to make the encryption algorithms stronger. The idea is that the encryptions program hides the message's original ASCII numbers by multiplicating those numbers with some decimal number. Or the system can add some numbers to those ASCII numbers. "Aninda Sinha (left) and Arnab Saha (right). Credit: Manu Y" (ScitechDaily, String Theory Unravels New Pi Formula: A Quantum Le...

There are always more than three actors in the real world.

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Cogito ergo sum. I think; therefore I am (René Descartes, French philosopher)

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