How to create software, what predicts the future?

How to create software, what predicts the future?

This program doesn't predict the future. It calculates probabilities, what is the synonym for things what measured in percent. It will calculate the relationships with the variables and that means that it would not predict the future. It gives the vision or model or tip, what would be the next action of the object, what is under the observation.

This kind of computer program bases the statistics. In this program, history is collecting similar cases, what want to predict, and those cases would store in the database. Then the database used to calculate the probability of the cases A and B. That means that the database consists the cases A and B, and those can be used to calculate the probability  ((A/B*100) or in the opposite case( B/A*100)) of those opportunities.

If we are making the database of the political elections the database is easy to make. There are only two possibilities, that the thing would be done or it will be denied, and that thing would cause the variables of the computer program and it's the database are easy to make.

And the data is easy to get for that kind of program, what mission is to calculate the two variables. But the thing is that the program would tell only the percents of a certain type of voting. In this kind of case, the database would need specific data of the cases, which are made in similar cases before. And that means that collecting the data is the problem.

But if we would want to make a database of the movement of some animal, we can use the turning direction as the variable. In this case, collecting the variable, but the problem is that there are very many variables in this kind of database. There are many types of turnings, what animal can make. There are gentle curves and steep turnings, and the speed, what animal used has the mean if we want to make the databases of that kind of thing.

So if we want to make a precise calculation we need precise data of the object, what behaviors we want to predict. The behavior of a thinking organism is the thing what makes all prediction very difficult if they do not consist only probabilities of the poker hands and other kinds of stable things. Or the makers of the probability calculations must start to think, that the people who give the playing cards for the calculation demonstrations are honest.

Probability is not exact information. It just helps to predict some things, by calculating the measured in percent change, that the animal would turn to some direct or some card is taken from the pack of cards? In the most common pack of cards is 52 cards. So if we want to calculate the possibility that the card, what rises from the pack is an ace, we must just say that probability for that case is 1/52*100=1.92307692308 (c. 1,92%)

Probability doesn't take in the count the thing, that somebody could manipulate the variable. This means that the person can take all the aces from the pack of cards. Or that somebody has been trained the animal turn in a certain way. This can destroy the calculations because of the data, what is stored in the database, what the program uses is somehow manipulated.

But when we are creating the probability of the turning direction of the animals, we must follow those objects very intensively. And when we are creating the trusted database of the turning direction of the animal, we must follow the turns in certain situations tens of thousands of times, and that helps to make the database, what the computer program can use for calculating the probability of the turning direction.

By using modern technology like GPS collar, which would also send the speed of an animal,  we can collect the database of the turning directions in certain situations. And then if there are connected two very small cameras the algorithm can find out in which situation the animal, what is under the observations makes some movement, the system, and human operators can find out are some movements reserved for some certain situations like escaping or attacking. And this thing would help to create the behavior model of some animals like Leopards or Tasmanian Devils.

Artificial intelligence as an architect

Artificial intelligence as an architect

In the world of tomorrow, the artificial intelligence is maybe the independent and ultimate tool for research and development, which have traditionally believed to belong to humans. The thing is that artificial intelligence can work as an architect, and furnish rooms and houses independently.

The thing what this algorithm need is to access the social media of customer, and where it can see the photographs, what the user has put in there. The thing that artificial intelligence would use are the words, what the user has used about the images, and if it has access to find out things like what kind of images that customer normally looks.

The artificial intelligence follows the movement of eyes and changes in electric actions in the pleasure center. By using that data the system creates forms that please the user. After that, the artificial intelligence makes the matrix or average image. It calculates the color palette, what it uses for the selection of colors for that project.

After that, the algorithm would calculate the angles and average forms, what the person looks at, and it can also detect the movements of the eye if it has access to that. And in the perfect version, it can detect the feelings of humans by observing the neural electricity. In that case, the computer must just show images, and EEG would tell if the image pleases the customer.

Then the artificial intelligence would just show images about the result, and then by observing the feelings, it can make perfect room, which pleases the customer. During the process, it adjusts the colors and the forms and places of things, and it can make the selection by using the budget, what the customer has given. The adjustment would make by following the reactions of the pleasure center of the brains during the process.

The difference between artificial intelligence and the human mind is that artificial intelligence would not have real feelings. Those highly sophisticated computer programs can play feelings, but they don't have them. So artificial intelligence can focus only on the mission, what it has. And the thing is that artificial intelligence can handle very much data if we are comparing that with the human mind.

Here I must say that artificial intelligence has one benefit to humans, and that is the system cannot use parameters, what it should not use. So the algorithm can collect letters or as an example the work applications by using indexes like texts, which seem to be made by the same person. In this time the system searches the similar details in the applications, but it doesn't notice the sender itself. That kind of thing makes possible to detect if some person makes the applications for other people.

Artificial intelligence can compare things like a way to write the messages by comparing the rate of the letters in the messages, and the way to select words are uncovering the writer. And other similarities in the writing style can tell if the writer of some messages is the same. The thing, that makes computers so good in this thing is that they are comparing two images by bit to bit, which makes them ultimately sharp.

What means that artificial intelligence can see things, what human beings cannot notice, because there are so many objects in the images, what are portraying certain parts of the sky or some rain forest. The computer can detect the smallest differences in things like the size of the leaf of the trees and change of the color of the green parts of vegetables.

The computer just compares two images together, and then the system can tell is the area of green material grown, is it decreased, or is a leaf of those trees going pale? Which means that the level of chlorophyll is decreased. That kind of data is an interesting thing because it tells about pollution.