The critical examination of unseen forces and
selective parameter analysis in Non-Biological Systems reveals defective
algorithmic codes beyond standard Global Variables. Systems Owners implement
specific algorithmic codes that extend beyond these Global Variables to secure
a sustainable competitive advantage from an economic standpoint. However,
prioritizing this advantage can disrupt good governance and the harmonious
balance of system resources. Studies have shown that Competitive Instincts
significantly influence both decision-making and social behavior. This case
study highlights how the Network of Competitive Instincts can modify both
Biological and Non-Biological Systems.
Hidden parameters can alter social environments
and activate primary instincts, while secondary instincts, known as associated
instincts, support achieving Closed-loop conditions. Systems Owners trigger
Competitive Instincts through Global Variables despite having a limited
understanding of instinct mechanisms. Global competitiveness has the potential
to impact algorithmic codes beyond Global Variables, adjusting the intensity of
Competitive Instincts. This adaptability can modify Decision-Making Models and
influence social behavior.
Observation:
The Black Box Testing Method investigates the allocation of
instinct mechanisms and approximates algorithmic codes that extend beyond
standard Global Variables.
