Why connections inside human brains look-alike the megastructures of the universe?

Why connections inside human brains look-alike the megastructures of the universe?

In this text, I will use the word "megastructure" about massive dust formations that are seen while we are looking at the universe or the chains of galaxies and galactic groups. Why connections inside human brains look-alike the megastructures of the universe? Does the form of the axons or neural connections have a similar mean, what the number of connections has?

The thing that interests researchers do the form of the connections between neurons some kind of meaning? There is a possibility, that longer connections between neurons allow that more neurons can take apart to the process of what is happening in axons. And would that mean that more analytic persons have longer axons than less analytical persons?

This is a good question. The intelligence of neurons is a very well known thing because they are forming brains. And actually, a single neuron has some kind of intelligence. So when we are thinking about the similarity with the structures of the human brains and megastructures of the universe, we are facing a one really interesting question, does the brains copy the structures, what they are seeing?

When we are thinking about the formation of human brains, we can always say that we cannot see those megastructures like a galaxy and dust chains, because the light on Earth is so bright. But then we must realize that the human eye would see many things, what is not catching the awareness, but those things have an effect on the formation fo the human brains.

There are many mysteries in the brains of human beings, and at least as many mysteries in the universe. In one of the most interesting theories, the universe itself would be an intelligent organism, but the processes of that majestic thing would be extremely slow. In the point of view of the human-sized animals. But if we are thinking about the creature, what could be extremely large, and lives about 100 trillion years, that creature would live in its world.

That world would be similar, with the world, where we are living, but the size of everything would be huge, and this very funny but at the same time fascinated idea is coming from the observation, that neutron has two magnetic polar like planets. The philosophers thought, that this kind of thing would make one of the greatest ides, whatever created possible.

In the world of philosophy, those people don't need to prove things, what they say by using empiric methods. Only rhetoric prove is needed in philosophical texts. This thing means that neutron is acting as the planet, but would it be possible that there would be intelligent lifeforms on the surface of the neutron?

Or are we self living on the surface of neutron or atom? This thing has been created a couple of interesting adventure novels, but that thing seems very far from reality. But these kinds of things are interesting ways to think. The thing is that the megastructures of the universe look-alike the connections of neurons is one of the most fascinating inventions, but there must be some kind of reasons for those similarities.

Nothing is done in nature without some kind of reason. And if brains are forming similar connections, what galaxies are forming in the cosmic structures, that thing might be an only coincidence. But what those connections are doing in the brains? That is a really interesting question. Does the form of the connections in the brains cause some kind of things in the way of thinking? So is the form of connections and neural tracks the same way important as the number of connections.

A little bit more about the robot, what would be equipped with artificial brains

A little bit more about the robot, what would be equipped with artificial brains

https://controllingsociety.blogspot.com/

(Wikipedia)

Robots are not humans

When we are thinking about robots, what are equipped with artificial brains, we might think that this system operates like a human. If we would think the case, that the robot is equipped with the artificial neurons, we must remember that this kind of system is stable. It cannot create new connections between those silicone-carbon neurons, and that means that this system needs some kind of mass memory like flash memory for recording things and creating the databases, what it can benefit for creating the solutions for problems.

And the database is the thing, what makes the intelligence. The idea of intelligence is that thing would connect the stored data together, and then make the new models for the necessary actions. And in the case that the robot would collect data spontaneously by using sensors, that thing might be very dangerous, because that kind of things would cause that the robot would become the thing, what recognizes itself. The thing is that, when we are creating a massive database, we would offer change to create own connections between memory blocks. That process could be similar, is the learning thing robot or human.

Teaching the robot is similar process than teaching child

When we are thinking about the situation, where we are teaching robot for walking, we are facing the thing, that when the robot is recording things, the actions would become more independent in each time, when we are taking this robot out from laboratory for walking. In this kind of scenarios, the artificial intelligence would record the actions, what the controller would do, and the recording would happen in the natural conditions by walking with a robot at the streets.

But that process would also be supported by using computer game type workspace, where the programmer would fix the errors of the actions of the robot. That kind of thing is called hybrid learning. There the simulation supports the learning in the natural environment. This kind of things would be a very effective tool when the robots are learning actions, what are needed in complicated environments, like in cities. That means that when the robot is learning like a child, everything would be recorded, and the programmer must not write every movement to the console.

Why do robots learn chess easier than making sandwiches?

The thing what differences the chess-game from the sandwich is that there are strict regulars in the chess board. The computer must separate only two colors and the forms of the chess buttons. If we will want to create the chess-robot, what needs to operate by using the specific buttons, and that means it will need only the hand, that is equipped with RFID (Radio Frequency ID) sensors. Robot hand and other physical systems can be connected with every chess program, and the system can get the movements of the buttons from the database.

Then it can analyze the movements, and increase its own tactics by comparing the movements of the opponents and making the game simulations against those humans. and the thing is that the bigger database would make that program more intelligent and its knowledge of chess is increasing, which means that it can know more sophisticated tactics against human players. And the growing of databases is calling as a learning process. The big database would involve more game styles and movements, and the computer will connect them together for creating more and more new ways to play against other players.

The key is how to recognize things? 

The RFID system would tell the robot hand, where each button locates, and the thing, what the system must only know is the location of the hand, that it would not move button outside of the chessboard. And that thing can be made by teaching the movement of the hand, and there could also be small transmitters, which will locate the manipulator in the right place. The system can teach by putting the button in the hand, and then the operator would write the name of each button, and the system records the RFID signal, what it compares with the database, where the roles of the buttons have been stored.

But when we are starting to make sandwiches, that robot needs more information from the sensors. In the food cannot install the RFID sensors, and the robot must recognize the materials by using some other sensors. And the problem is that robot must know every single component like mayonnaise, sausages butter and other things like bread. Then it must take the right amount of the things and cut as an example of the sausages for the right size. And every movement and move track must be programmed to the system separately. Of course tools like knives can be RFID-marked, but the food can be recognized with image-id systems. And this makes this kind of thing very difficult for the computers, what are in the best with the limited logical problems like calculations.