The Neo-Industrial Nature of the Convergence of Information and Cognitive Technologies

Abstract

The development of information and cognitive technologies began with the advent of electronic computers. Today, with progress in the fields of grid computing and robotics, most of the tasks of electronic computers are able to solve without human assistance, thereby forming artificial intelligence. Robots and computers can not only perform a range of routine physical activities more efficiently and at lower cost than humans, but today they are also increasingly capable of performing activities that include cognitive abilities that were previously considered too difficult to automate, for example, the acceptance of tacit judgments, the perception of emotions. This predetermines the neo-industrial role of the convergence of information and cognitive technologies, which should form a platform for neo-industrial development. The latter is possible with the accelerated diffusion of convergent technologies in industry, in which they must replace production technologies that have reached their limit. Such a technological transition should be based not on the branch, but on the supra-branch principle of structural genesis. In its turn, to do this, it is necessary to take into account both the benefits and risks of neo-industrial modernization of industry based on convergent technologies. This is the social effect of information-and-convergent neo-industrialization.