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Artificial Intelligence is a branch of computer science, which purpose is a creation of artificial devices or programs, that imitate an intelligent behaviour to solve a given problem via computer system Computer system is the combination of hardware and software that can be programmed to carry out a set of arithmetic or logical operations. That means, that intelligent systems should by themselves find solutions to the problems the are: - Traditionally proven to be performed by humans only - Are concerned with the certain branch of science, which database is kept in the program’s memory Via fulfilling this task humanity has invented two basic ways of artificial intelligence development architecture Top-Down AI – the way of the creation of computional engine, databases and logical output system, that is imitating the high mental activity Bottom-Up AI – is the way creation of neuronetwork and evolutionary arithmetical measurement modulating and creating such arithmetical systems as biocomputer. Although, this way has proven to be fictional 1. Database – is a storage, that contains basic information and dogmas of some defined scientific branch. Database is divided by two with a self-educational priority segragation. The first part contains paradigms that are not permitted to be changed or doubted during the self-educational machine-learning process. The second part contains a fluent information on exact example sharply. This information leads the program to the solution at the given task during the running process. Afterwards, the results of the fulfilled task are analyzed by the program. The results of the analysis are added to the constant database in case the do not make a conflict with the existing paradigm 2. Performer – is a term for the software and hardware that allows to callculate arithmetical and logical operations. 3. Intellectual interface – the element that provides communication with the computer, that runs the Artificial Intelligence without additional programs requested for input information. However, that kind of data is interpreted into the level of arithmetical and logical architecture. That provides one of the main problems of effective Artificial Intelligence System – to find the most effective way of data interpretation by Artificial Intelligence itself Nowadays artificial intelligence problems can be divided into the next questions highly-effective inteligent interaction interface ofetn makes a conflict with the service-software or in the self-educational process which leads to the artificial intelligence procces crash Highly-effective computational systems are massive. For example Wolfram Alpha is written in 15 million lines of Mathematica code and runs on more than 10,000 CPUs. That leads to the question of economical expediency of the further development of that branch of computer science The purpose of my reasearch is to prove the posibility of creation of the economicaly expendial Artificial Intelligence System