Monday, April 19, 2010

Hidden Sub-attributes Shape Evolutionary Paths

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.

 

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