M.J. Openkov - Dr.Sc. (Philos.), Professor, Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk). E-mail: kotozelot@gmail.com A.S. Malyshev - Student, Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk).. E-mail: kotozelot@gmail.com

One of the objectives of Artificial Intelligence is to provide a deep neural networks, something like truncated virtual brain. They make it possible to machine learning, which has committed an incredible success, previously considered inaccessible much, if at all possible. The reason is not only in the growing capabilities of our computers and extension of our knowledge in the field of neuroscience, but also in the rapidly growing volumes of collective data, also known as big data. A large amount of data - exactly what you need machines for training. The combination of in-depth training and large data yielded impressive results in recent years. Meanwhile, it has been identified limits of classical computers [1]. The big data often see associated with complex computing problems. Boethius adhered to the Platonic idea that the possibility of knowledge is not determined by the complexity of the object, and the resolution capabilities of the mind. The main argument of philosophy lies in the fact that you need to change the concept of truth: «It is a misconception stems from the misconception that the completeness of knowledge depends on the nature and the nature of the knowable, while, on the contrary, it is more dependent on the nature of the knower» [2]. We can assume that algorithms brain (wetware of the brain) are quantum. According to the findings Deutsch, quantum computers are not designed to carry non-algorithmic operations, but can in some very specific cases, to achieve higher per-formance in terms of complexity theory [3]. It makes no sense to deny a causal relationship of brain and consciousness Possession consciousness as opposed to the possibility of its formation is not an attribute for a person, but it is reasonable for such machines [4]. Dynamism of consciousness due to its internal heterogeneity. The most optimal model it is a network with a moving center (state \'I\' at a particular time). This network, in the paradigm Everett interpretation of quantum mechanics, obviously must be of a likeness of the multiverse, consisting of subjective worlds (Selves), apparently unaware of the existence of each other in the normal state of the system, a certain set of shadow «I». The center is determined in the same way as the real reality among the shadow, that is, if the real will be the reality, which at this particular point in time raised the question of the choice of such, then, network center should you need depends on your creative challenge. The very thought is in this context will be the interference of the closest subworlds, that is, something like a quantum computation on the basis of specific groups of neurons networks serving individual subworlds material carriers. An extreme example of such interference is the creation of a new subworld possessing some features of existing, but qualitatively different from them. However, this phenomenon can cause obvious need only the original call.

 

1. Santes S. Rabota - dlja mashin, zhizn - dlja ljudejj // http://apparat.cc/world/jobs-for-machines-life-for-people/
2. Boehcijj. «Uteshenie filosofiejj» i drugie traktaty. M.: Nauka. 1990. S. 286?287.
3. Penrouz R.Novyjj um korolja: o kompjuterakh, myshlenii i zakonakh fiziki. M.: Editorial URSS. 2005. S. 343.
4. Dojjch D. Struktura realnosti. Izhevsk: NIC «Reguljarnaja i khaoticheskaja dinamika». 2001. 400 s.