System Owners
design algorithms that extend beyond Global Variables in Non-Biological
Systems, enabling adaptation to potential changes in external environments. In
contrast, Global Variables in Biological Systems must align with the system
platform's environment and be compatible with its activities. Algorithms surpassing
the Global Variables of Non-Biological Systems can modify the compatibility
layers of Submodules. Introducing new algorithmic configurations and unique
submodule attributes can unify the entire system platform, potentially
requiring system upgrades.
Local
sub-attributes can be optimized and enhanced through Global Threads, leaving
many sub-attributes hidden from the view of System Owners. These hidden
sub-attributes play a critical role in shaping social behaviors and influence
the evolutionary trajectories of both Biological and Non-Biological Systems.