Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour

摘要

Transdisciplinary paradigm of digital researches, acting as the basis of synthesis of knowledge of the person, the nature, society and production, supplements scientific rationality. She allows to create digital doubles of social services and production of production of products and technological process of operation of the equipment. Digital doubles by training of neural network systems on the basis of the saved-up big data relating to services sector or production for intellectual management of technological processes and the equipment are created. The digital double carries out activity automatically on the instructions of the person. Intellectual production management by digital doubles optimizes its work, increases labor productivity and competitiveness of products on quality and the price. Digital doubles of the person render services in the social sphere. Specialization of digital doubles to professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. The international scientific and engineering society gradually moves to technical realization of the cognitive professional robot with retraining. The group of the University of California in Berkeley and Princeton investigating efficiency of methods of machine learning for forecasting of human behavior offered the new approach which is given rise on a joint of AI and cognitive psychology. Scientists presented the new concept providing preliminary training of neural networks at the synthetic data prepared by psychologists by means of the existing theoretical models. Approach can be used by other groups for a training of their own models of machine learning. Approach combines the existing scientific theories of behavior of the person with flexibility of neural networks for the best forecasting of the risky decisions made by the person. From the practical point of view it allows to save to researchers a lot of time which is spent usually on data collection for the knowledge base of human behavior.