Was Peter Engelmeyer Right in Arguing that Signs, Language and Thinking Are Techniques?
Vadim Rozin
The article discusses the position expressed by Peter Engelmeyer, the fi rst Russian philosopher of technology, that signs, language and thinking can be subsumed under the concept of technology. The author shows that there is indeed a problem here, to solve the problem it is necessary to understand and distinguish between the concept of technology and non-technology, represented by signs, language and thinking. Based on his studies of the nature and genesis of technology, he characterizes the latter as a cultural and historical formation, a solution to unsolvable problems and tasks, as an artifact that allows solving such problems and creating new natural processes that were previously unobservable and even non-existent, and fi nally, as a conceptualization of technology. Characterizing signs, the author shows that the meaning and the sign as a whole, as a concept, in contrast to the artifact, as a product of activity, relate to the inner, to the life world of a man. For a better understanding of this thesis, a case is considered – a story told by K. Jung in his last book, on the material of which the concept of the life world and the scheme explaining Jung’s act are introduced. Regarding language and thinking, two cases are distinguished: in one they are not technology, in the other, if rules and methodology are used, they can be considered as intellectual technology. The last part of the article discusses hybrid types of technology, specifi cally neural computers. The author shows that in a neurocomputer, due to technical imitation of the neural network and training, a model is created that allows, at the request of a person, to take information from the Internet, construct written speech according to the rules of language and reason according to the rules of logic. At the same time, this model does not replace natural intelligence, which lives and unfolds in people and in social communications. Since people are constantly improving computer technology and trying to replace natural intelligence with artifi cial intelligence, the neurocomputer as a model becomes more and more perfect in terms of the product (the results of linguistic communication and thinking).