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Mature artificial intelligence we have already created based on self-organizing Smart-MES

Зрелый искусственный интеллект нами уже создан на основе самоорганизующейся Smart-MES 

Offered for the proof of this fact we have in Russia Mature artificial intelligence to go by contradiction, ie, to prove that a self-organizing System Smart-MES is not a Mature artificial intelligence. To do this, she should not meet any below mentioned technical grounds.

In the article A. E. Solovyov’s “Signs of intelligence” says that among the defining artificial intelligence are the following “possibilities”: “the Formalization informally, the Synthesis algorithm in process of solving the problem, the Subjectivity of decisions, Communication at the semantic level, Motivation.” And summarized: “These signs allow us to determine the Mature formed artificial intelligence. In life we often meet with minds, almost deprived some of these qualities or severely weakened in a particular component. Let us indulge our brother less to artificial intelligence. He is still evolving”.

But just want to say that all the vicious speculation of scientists on the question of artificial intelligence do not take into account the most important that the man is continuously trained 20 years to somehow have these possibilities. So much more important to talk about the presence of artificial intelligence, and the potential thereof. And yet…

1. Formalizing the informal.

Solovyev: “construction of an adequate model for subsequent computer processing. Anyway, informal and “creative” problem must ultimately be solved. It is a formalized and deterministic computer. The formalization of the informal is always a creative process, subjective. A favorite of many pattern recognition are usually part of a formalization of such problems, usually not the most difficult! To decompose “on the shelves” of your computer knowledge, create knowledge base – the task is more difficult”.

Smart-MES. Here you will note the phrase: “to Sort through…” that means it is self-organization. If this is a sign of intelligence, Smart-MES has them in abundance. Here you have the tick in the asset. Informal calculation of means – not, as is customary, i.e. quite unusual. Is the merger a million small tasks into a global task with automatic and unpredictable change my code, it usually is. This is not in any System. Namely, it is the essence of Smart-MES. Thus, this characteristic is made, i.e., proving the absence failed.

2. The synthesis of the algorithm in process of solving the problem.

Solovyov: “In principle, such arrangements are implemented in the logical programming language Prolog. It all started with a General Problem Solver (GPS) and the language Planner. This is the most advanced part of the work on artificial intelligence, maybe that is why the progress in her now smallest. But the car already grandmasters beat.

Smart-MES. It’s very simple, because in common with the previous one. Smart-MES using two languages: META and MACRO, which bifurcated his two compilers. As a result of the synthesis algorithm in the second stage is optimization by criterion of speed of calculation. Thus, this sign is fulfilled, i.e. to prove his lack of again failed.

3. The subjectivity of decisions.

Solovyov: “In the creative tasks, it is necessary because such problems have no algorithm, and therefore does not have solutions in General. The conversion from the General form in private – the process is fundamentally subjective. Here work is underway on various fuzzy mathematicians. This includes all sorts of non-monotonic algorithms, pseudovesicaria logic and the like. Do not confuse vagueness with probability. The objective probability, using probability there is a God.”

Smart-MES. And here it is necessary to argue with God, which is not (I’m a believer). But if there is no God, the probability is already obtained, subjective. But if the probability is created as a result of multiplying many probabilities that depend on mood, weather, planets, etc. Unless this probability is objective? Not at all. Therefore, the subjectivity of human decision-making is completely dependent on his learning, where the experience – the same training. So, System Smart-MES nothing to teach, and she will give a subjective decision. Thus, a third characteristic is made, i.e., to prove his absence and are not able to.

4. Communication on semantic (pragmatic) level.

Solovyov: “One of the main applied areas in artificial intelligence today, every steel system of dialogue with the machine. This is the most shameless discredit artificial intelligence! It’s a pointless dialogue that looks to impress through meaningful syntactically correct. That is, the communication on a syntactical level. The problem of communication for artificial intelligence is the transfer (exchange of information) of the sense! Moreover, the aerobatics would be communication on a pragmatic level.

Smart-MES. But why it should be considered a text-only language, what’s wrong with digital that a person owns very little? Or when Smart-MES advises a person what better to select control mode, isn’t that a pragmatic level? So, again, this feature is performed, i.e. proving the absence in the fourth time failed.

5. Motivation.

Solovyov: “today it is the most difficult item. “And what for to me all this necessary?” – I will say the machine. Man today is not for her serious arguments. Although, it is nice that work is being carried out in this direction.”

Smart-MES. And again, I about training. Motivation a person completely depends on his level of knowledge and from his actions, which are the result of education. And motivation is influenced by internal and external factors. Through human learning and motivate. But Smart-MES easy to learn, hence motiviranost. But motivated it is also adaptability. It is here that Smart-MES has the lightest and the most adaptability. Thus, the last sign is fulfilled, i.e. to prove its absence could not in principle.

In the end we got a stunning result that a self-organizing System Smart-MES has all the signs of artificial intelligence. Therefore, it is inherent in a Mature artificial intelligence, which has already been tested, and who is ready to take on a mountain of intellectual work for extricating the great of Russia of IT in the swamp and industry and power generation, and in the defense industry, in medicine and in science.

But let’s not rush this, because it is in our corrupt time is simply not possible, and compare Smart-MES with the man himself. But there is one tricky moment with the duration of training. After all, for purity of experiment, you need identical conditions. But who will provide them? And actually, because people at the stage the baby learn in one minute not able to, and Smart-MES can easily.

Is it true from baby to expect creativity, but from a System without long training for some reason we is certainly required. Thus, the speed of training people System Smart-MES and sloppy. You tell nonsense. So organize the experiment at least 10 years.

All the arguments of scientists on the subject of artificial intelligence without IT Self-organization are a complete sham. It all comes from the fact that IT-scientists are far from IT-developers and so they absolutely do not feel the essence of the program code. And the element code for the artificial intelligence is too most, as the neuron for a person. In both cases, their structure in the process of self-organization of unpredictable change, and therefore inaccessible to understanding.

The underestimation of the top of the presence in Russia of a Mature artificial intelligence in the age of computer technology is such a strong brake that is akin to sabotage national interests. After all, artificial intelligence, able to learn, can easily operate with millions of indicators, giving invaluable advice and the economy, both in industry and in medicine, and in the defense industry, in politics, in sports, i.e. everywhere.

And that’s just a simple example. For example, in electricity artificial intelligence may every year at the thermal power stations to save fuel more than 100 billion rubles and reduce harmful emissions by 20% or more. For nuclear power plants artificial intelligence is able to implement the theory of accidents, as a reflection of the theory of catastrophes, and generally to prevent the actuation of emergency protection, i.e. to make all nuclear power plants completely trouble-free.

Actually, the Mature artificial intelligence self-organizing System Smart-MES with government support can do to change the views of IT specialists, the paradigm of big easy creation of adaptive Systems for the industry. But currently, she is the worst of IT-the Gulag. And this unfortunate fact does not paint the Great Russia.

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