We duplicate the human mind processes completely. Starting from early childhood when the human mind is occupied with assigning attributes and objects’ classification and growing up to the analytical tool of the adult, which is capable of abstract thinking and situations modeling. Also, we described the memory structure specific to particular ages, information memorization, and retrieval of information.
It must be noted that our developed concept provides for the fact that cognitive processes are an integral part of both the motivational sphere and emotions, which are ultimately the cornerstones for building up the entire processing of data by the human mind (patent pending).
Methods of retrieving data about the human mind processes are primarily based on psychoanalysis. Moreover, we widely use the following phenomenological procedures, in particular: phenomenological reduction, Daseinsanalysis and ideation.
The methods and base algorithms were proved and tuned by analyzing the behavior of 120 million real people.
It must be particularly noted that we have developed algorithms to compensate the difference between the human and AI perceived apparatuses, and to offset the data tampering on the Internet vs. the life experience of a particular real individual.
Data storage is based on the non-uniform semantic network architecture containing N-ary relations. Data processing, replenishing, and optimization are ensured by the algorithms used both in the Neural Network Adaptive Resonance and Convolutional Neural Network, as well as by the elements of Latent Dirichlet Allocation.