How to make noosphere truly noospheric and how much significant is the role of artificial intelligence in this?
https://doi.org/10.17726/philIT.2022.1.5
Abstract
The transformational-overcointegrative methodology which we use and apply here is based on the outlook that acknowledges the key principle of true unity and entity of all the world. If this key principle is valid – and it is precisely valid – all the world (that is all nature, including human society) in its processing development and transformation is subordinated to general, universal (in fact, even overcogeneralized, overcouniversalized) laws (rules, relationships). And when we cognize and understand these laws in their completeness (in fact, precisely overcocompleteness) we can see the trunk, backbone way of all general, universal evolution (in fact, overcoevolution-overcocreation) and, inside it, of evolution and transformation of human society. All this has been dependently proved and shown in our previous publications. The transformational-overcointegrative methodology accounts the overcogeneralized laws of the all-world systemic development and transformation and is able to overcointegrate, overcogeneralize, overcounite all existing (and even those possible to exist) methodologies and approaches, among them the noosphere approach. Only with the help of this very methodology we are capable to reveal the grounds and mechanism, the relationships of the transformational-creational change of the contemporary society and of its transferring to the stage of truly noospheric noosphere or, in other words, «intelligent intelligence», «conscious consciousness».
About the Author
A. P. Gorbunov
Pyatigorsk State University
Russian Federation
Russian Federation
Gorbunov Alexander Pavlovich - doctor of economic sciences, professor
Pyatigorsk
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Review
For citations:
Gorbunov A.P. How to make noosphere truly noospheric and how much significant is the role of artificial intelligence in this? Philosophical Problems of IT & Cyberspace (PhilIT&C). 2022;(1):71-82. https://doi.org/10.17726/philIT.2022.1.5
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