The Network of Competitive Instincts Influencing System Integrations

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.