The philosophical analysis of phenomenon of machine learning

In this article author explores modern approaches for building of intelligent computational applications, which are learn by experience. Different definitions of explanation of intelligence are analyzed in context of human and in context of machine. A brief history of computational technics is illustrated, as well as a history of thoughts about artificial intelligent machines. The most fundamental science fields which influence the development of artificial intelligence are defined. The history of artificial intelligence becoming a field of knowledge is described. The reasons why the first wave of development of artificial intelligence did not live up to the expectations are listed. The key factors why today artificial intelligence is more real are explained. The theory of «Algorithm of God» by Pedro Domingos according to which there’s no physical reasons why strong artificial intelligence is impossible is described. The arguments how artificial intelligence is possible also provided by Domingos. The relation between artificial intelligence and machine learning is explained. Analyzed philosophical effects of usage of such approachs on given stage of development of science and technology, philosophical implications of usage of such technologies are predicted.The relation between deduction and induction is explained as well as the difference between deterministic applications and artificial intelligence

machine learning, artificial intelligence, Algorithm of God, induction, empirism, OGAS, transhumanism, Turing test, intelligent machines, automation

1. Russel S. J., Norvig P. Artifical Intelligence - A modern approach. Massachusetts: Prentice Hall, 2013. 1053 p.

2. Bellman R. E. An Introduction to Artificial Intelligence: Can Computers Think? San Francisco: Boyd & Frazer Pub., 1978. 146 p.

3. Kurzweil R. The Age of Intelligent Machines. Massachusetts: MIT Press, 1990. 580 p.

4. Winston P. H. Artificial Intelligence. Massachusetts: Addison-Wesley, 1992. 640 p.

5. Poole D., Mackworth A. K., Goebel R. Computational intelligence: A logical approach. New York: Oxford University Press, 1998. 576 p.

6. Sachs J. Aristotle’s Metaphysics. New York: Oxford University Press, 2002. 365 p.

7. Луллий Р. Книга о любящем и возлюбленном. Книга о рыцарском ордене. Книга о животных. Песнь Рамона. СПб.: Наука, 1997. 284 с.

8. Гоббс Т. Левиафан, или Материя, форма и власть государства церковного и гражданского. М.: Мысль, 1991. 625 с.

9. Паскаль Б. Мысли. М.: REFL-book, 1994. 525 с.

10. Knuth D. The Art of Computer Programming, Volume 1: Fundamental Algorithms. Redwood City: Addison Wesley, 1968. 672 с.Turing A. Computing Machinery and Intelligence. London: Mind, 1950.

11. Patrick J. On John McCarthy’s 80th Birthday, in Honor of his Contributions. Massachusetts: MIT Press, 2007. 18 p.

12. Kurzweil R. How to create a mind: The secret of human thought revealed. Washington: Viking Penguin, 2012. 352 p.

13. Глушков В. Что такое ОГАС? М.: Квант, 1981. 351 с.

14. Domingos P. The master algorithm: How the quest for the ultimate learning machine will remake our world. Washington: MT Press, 2015. 356 p.

15. Kurzweil R. The age of spiritual machines. Washington: Viking Press, 1999. 400 p.