The new artificial intelligence has an imagination.

How to make the imagination for artificial intelligence? 

The one model for that thing is so-called Lorentz's strange attractor. These two systems are surrounding the data segments through the third system. The idea is that those data segments are connecting to the different orders whenever they are traveling through the third system. In this model to the attractor can increase the new data segments by bringing them outside the system. 

The system benefits the same model that is used on the Internet.  We can think that every data segment is like a photograph, and this data flow is like tape. The tapes or the information they involve are connected to the entirety. And the change of information mass or sorting the information causes the imagination. 

Lorentz's strange attractor

Because there are always new frames in the information tape, the connection happens in the different points. Because there is data connected to them from outside. That means that those cards are in a different order whenever they are facing each other.  

We can think that imagination is two films that are connecting. And when they are connecting. The frames are turning to a different order. And the outcoming information is increasing the length of those tapes.

Imagination is the ability to think abstract things. 

Imagination is the ability to think abstract things. The problem with artificial intelligence is that those things are "here and now". That means they are effective in the cases, that are programmed in their memories. But the fact is that when artificial intelligence is deciding that system requires real data, that is coming from sensors. 

But the problem is that what if sensors are not seeing anomalies. What kind of things the artificial intelligence can do in that case? The "Here and now" model is a very good way to make things if the sensor can deliver all necessary information to the system. So if artificial intelligence is repairing the car, it asks the sensors what is the problem? 

If the sensor cannot see the problem or some other surprising thing is happening. That thing requires that human workers come to the place, and then they will search the damage. But this model cannot follow in the case that some unexpected happens to the things like Mars rovers.

In this case, there is the possibility that the rover uses the camera for searching damages but if that camera cannot see things, the rover must use imagination for researching the reason for the damage. And that thing can tell where the thing that causes anomaly in the actions. The imagination allows artificial intelligence to make the abstract model of the products before they are sent to an assembly line. 

Because regular artificial intelligence is using data, that is coming from sensors. And connect that data to a database, where are the instructions, what artificial intelligence must do in every predicted situation. If the action that is stored in the database is not fitting to the situation, the machine will not operate as it should. If the AI wants to be adapt and learn those situations, the system requires the ability to make new databases. That means when the computer is facing a situation, that is not stored in databases. 

It asks the human operator to make the new solution that is stored in the new database. The increasing number of databases means that the number of solutions is increasing, and the machine is learning things. But for that, artificial intelligence requires human assistance.  

That means they cannot create abstract models for things themselves, which they must do next. The model can be made by using a virtual workspace. The virtual workspace can look like a computer game. 

But how to automatize that thing? The requirement for making the abstract models is to disentanglement from the "here and now" model. And the imaging or creating the abstract model is combining the small memory blocs with new ways. 

The brains are connecting data that they get and make the new models. And the thing is that the brains are not making any difference between the data that is used in this process coming from the real- or fictional world.