Global competition and the pursuit of
sustainable success require systems to adopt efficient economic perspectives.
Within complex platforms, System Owners often identify incompatibilities among
system components that generate noise through sensory attenuation in changing
environmental contexts. Resource allocation typically spans both Biological and
Non-Biological systems.
Because developing deep compatibility
models is costly, Platform Owners often rely on simplified approaches to manage
discrepancies across resources. One such approach is the Force-Matching Model
Procedure, which applies a set of forces to establish comparable reference
structures and attributes within a single component resource, enabling
short-term alignment rather than long-term integration.
Case Study:
Non-Biological Systems
Two technological tools may become incompatible due to excessive use
within a specific machine. Replacing one or both tools may be economically
impractical, so Platform Owners apply Force-Matching Model Procedures to
achieve temporary compatibility. However, as the machine integrates with
additional internal and external resources over time, the procedure can become
increasingly complex. Such integration may introduce unpredictable economic
losses or, in extreme cases, human risk.
Case Study:
Biological Systems
Statistical analyses indicate that human resources are among the most
expensive components and can represent a significant burden within system
platforms. In this context, the algorithmic properties associated with Quantum Consciousness
may become trapped in feedback loops and destabilizing constraints, reinforcing
the use of Force-Matching Model Procedures. The result is a systematic
reduction in Biological Systems across the Platform Owner’s infrastructure,
recognized as an unethical process model.
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