Чому людина починає програвати конкуренцію за термодинамічну нерівноважність, як фактор розвитку в навколишньому техногенному середовищі

This work proposes to consider some safety conditions for humans in the environment, due to their relation to thermodynamic non-equilibrium, understanding this criterion as the possibility of estimating changes in entropy in the ecosystem. As a method of analysis, the regularities of development of such systems are taken sequentially—in the field of thermodynamic equilibrium, weak thermodynamic nonequilibrium, and strongly nonequilibrium systems To calculate such ratios in entropy it is proposed to use the equations of L. Onsager, the regularities that form the basis of I. Prigozhin's theorem, as well as formulas for calculating the entropy of K. Shannon, which determine the relationship with entropy for information systems. Two large groups of ecosystems that have an impact on the state of the environment were analyzed, namely: inorganic or metal-metalloid on the one hand, and a group of systems with a carbon-protein base, with the initial assumption of some competition between them. It is shown that man, as a representative of the second group, in the process of his development encountered a number of technogenic processes that aggravate its claims to thermodynamic disequilibrium and, thus, reduce its opportunities for long-term development and reduce its impact on technogenic safety factors. These include irreversible processes of man-made pollution of the environment, the use of non-renewable mineral and organic resources, the manifestation of technological inertia in production, the reduction of biodiversity due to the fault of humans, etc. One of these reasons is gradually becoming the dependence of man on the properties and qualities of the global information space, as a new man-made factor and its derivatives, which, under certain conditions, can become capable of leading to a dangerous relationship between man and HIP, as parts of the environment - the inability of a person to minimize entropy in the process of his activity. Features of the development of artificial intelligence and HIP As influential man-made factors in the environment, they provide opportunities for comparison of two new man-made bases that belong to separate components of the environment, and which are accepted for analysis in the work, in relation to their equal competition, which man has not yet lost, but will not win

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2024-12-26
Primary Topic
Complex Systems and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Чому людина починає програвати конкуренцію за термодинамічну нерівноважність, як фактор розвитку в навколишньому техногенному середовищі

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Complex Systems and Dynamics
article

Чому людина починає програвати конкуренцію за термодинамічну нерівноважність, як фактор розвитку в навколишньому техногенному середовищі

article en

Abstract

This work proposes to consider some safety conditions for humans in the environment, due to their relation to thermodynamic non-equilibrium, understanding this criterion as the possibility of estimating changes in entropy in the ecosystem. As a method of analysis, the regularities of development of such systems are taken sequentially—in the field of thermodynamic equilibrium, weak thermodynamic nonequilibrium, and strongly nonequilibrium systems To calculate such ratios in entropy it is proposed to use the equations of L. Onsager, the regularities that form the basis of I. Prigozhin's theorem, as well as formulas for calculating the entropy of K. Shannon, which determine the relationship with entropy for information systems. Two large groups of ecosystems that have an impact on the state of the environment were analyzed, namely: inorganic or metal-metalloid on the one hand, and a group of systems with a carbon-protein base, with the initial assumption of some competition between them. It is shown that man, as a representative of the second group, in the process of his development encountered a number of technogenic processes that aggravate its claims to thermodynamic disequilibrium and, thus, reduce its opportunities for long-term development and reduce its impact on technogenic safety factors. These include irreversible processes of man-made pollution of the environment, the use of non-renewable mineral and organic resources, the manifestation of technological inertia in production, the reduction of biodiversity due to the fault of humans, etc. One of these reasons is gradually becoming the dependence of man on the properties and qualities of the global information space, as a new man-made factor and its derivatives, which, under certain conditions, can become capable of leading to a dangerous relationship between man and HIP, as parts of the environment - the inability of a person to minimize entropy in the process of his activity. Features of the development of artificial intelligence and HIP As influential man-made factors in the environment, they provide opportunities for comparison of two new man-made bases that belong to separate components of the environment, and which are accepted for analysis in the work, in relation to their equal competition, which man has not yet lost, but will not win

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Life in Land
Openalex Percentile: Top 59%
Complex Systems and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.