Modeling Default Values of Human Nature

Global variables in Non-Biological Systems should align with the inherent principles of human nature, which include the default values of attributes tied to instincts and the Ego/Superego frameworks. The number of parameter discrepancies between Biological and Non-Biological Systems indicates the level of complexity within layers of  Non-Biological Systems. For optimal performance, global variables in these systems must be calibrated to reflect the default states of Biological Systems.

System Owners should adhere to parameters that mirror the natural dynamics of Biological Systems. However, algorithms that extend beyond the essential global variables in Non-Biological Systems are often shaped by economic models, as many platforms must operate safely and efficiently in competitive markets.

Detecting diverse parameter settings that align with the characteristics of Biological Systems can improve the convenience of operating system platforms. However, a paradox arises when dealing with complex global variables tied to the nature of Biological Systems.

Systems Owners must follow two procedures to maintain harmony in the system platform. The first step is the proactive detection and tracking of true human nature, and then the second step is resisting economic incentives when establishing priority settings in global variables. Harmonic Balance in Consciousness is the only way to provide an ideal system design.

Observation:

Social parameters, ethical accountability codes, and constitutional regulations integrated into system platforms must be designed, developed, and aligned with human nature. Altering or constraining the default values of attributes linked to human instincts and the Ego/Superego framework within the Subconscious Component can profoundly influence life cycle patterns and potentially give rise to unseen forces of entities.

 

Observation:

The evolving global economy and rising competitive ambitions reshape social activities and cultural norms, influencing algorithmic codes beyond global variables in Non-Biological Systems. Over time, these systems may adapt to align with gender instincts. However, human decisions within such a community could lead to lifestyle disruptions and long-term tragedy.

 

Observation:

System Owners can influence and adjust economic perspectives to navigate global competition and adapt to external changes. While human nature is often viewed as an obstacle to gaining a competitive edge, some may bypass human nature and focus solely on achieving cost-effectiveness through economic models. However, this approach risks setting off a self-destructive cycle that begins, unfolds, and ultimately breaks down the very frameworks of the system mechanisms in the long term.