Classical thermodynamic entropy is defined as a scalar physical quantity characterizing the disorder degree of a system, which is only applicable to describing the disorder evolution laws of inorganic isolated systems and simple open dissipative systems. It cannot explain the underlying logic of the generation of life consciousness, the evolution of mental order, and the differentiation of social hierarchy. Based on the non-equilibrium thermodynamic dissipative structure theory and the laws of biological evolution and cognitive systems, this paper conducts an original systematic research on the core definition, dimensional framework and evolution mechanism of consciousness entropy. Breaking the traditional scalar cognition of entropy, a six-dimensional energy entropy vector model and hierarchical judgment system are constructed. This study defines consciousness entropy as a global order metric of open dissipative systems of human mind, which integrates Shannon information entropy and psychological spiritual entropy into a unified sub-level system. It verifies that the entropy change of complex life and social dissipative systems presents multi-dimensional, autonomous and time-series vector evolution characteristics. Furthermore, this paper establishes multi-level nested entropy change simultaneous equations covering individual mind, group society and national civilization, and quantifies the hierarchical entropy states and steady-state conditions of different dissipative systems. This paper clarifies the substrate-high-order nested relationship between ordinary physical entropy and consciousness entropy, and explains the complete dimensionality upgrade path of consciousness entropy from inorganic physical substrate to high-order mental entropy of life. Combined with modern brain-computer interface empirical evidence and civilized entropy evolution cases, the scientificity and adaptability of the theoretical system are verified, providing a new thermodynamic research paradigm for the theoretical definition, dimensional quantification and hierarchical application of consciousness entropy.
Xijiang Hu (Sat,) studied this question.