Становление методологии сложностно-семиотического мышления в диалоге с квантовой механикой

Abstract

It is stated that the process of human evolution on planet Earth has entered a permanent crisis mode. The Earth’s civilization is facing a growing set of challenges, threats of uncertainty, even in the very near future. These chal­lenges are associated with the onset of the epoch of the Anthropocene, when human intervention in the bio-geo-sphere leads to its irreversible transforma­tions, which with a high degree of probability may not be compatible with his own existence. On the other hand, on the horizon of the crisis evolution of mankind, a qualitatively new but still ghostly virtual entity appears, called artificial intelligence, which carries a potential threat of its enslavement, turn­ing it into a new pet at best. In this context, a request is rapidly being formed for a new way (or mode) of integratively oriented polyocular thinking, a new conceptual optics that allows us to comprehend the current situation here and now, in order to build a variety of possible scenarios for future human co­evolution, technology and the environment endowed with semiotic agency. Complexity thinking is evolutionary thinking together with complexity, think­ing quantum-relativistic, mediating, procedural-temporal, thinking immersed in a non-equilibrium flow of becoming distinctions, along with the retention of the distinguishable and indistinguishable, as a kind of figure and background, text and context, self-organizing autopoietic system and structurally related en­vironment. Thus, this mode of thinking becomes a recursive semiotically loaded contingent process in which the dialectic of necessity and randomness generates its qualitatively new states. Summing up, we can say that complexity acts as a kind of potentially active background, not fully manifested process, an infinite-dimensional quantum mechanical function, contact-meeting with which brings to life the appearance of a figure, a sign and its observer, referred to by us as a cross-border observer of network complexity.