Development of Invisible Entities in Different Phases

The first phase of invisible entities initiates and processes through global codes in Biological and Non-Biological Systems. The complexity may appear in operational mechanisms, and the System Controller can predict anomaly algorithms in system environments. An invisible entity can develop in the first phase from one hour up to a million hours, and it prepares to grow and move to the second phase of the Evolutionary Model.

The second phase of the evolutionary mode is called an invisible explosion, in which the growth can be perpetuated in two instances.

1) Sluggish Stage

2) Vigorous Model

 

The first instance is the Sluggish Stage. It refers to an occasion where invisible entities can hardly modify and infect neighborhood networks. Because path parameters constrain, turn off possible threats, and allocate in a solitary mode. The Sluggish Stage does not modify defective entities, and it does not cause serious side- effects in the system platform. An expert can easily detect invisible entities' symptoms and diagnose the source of issues beyond the system boundary. The Sluggish Stage recovers in the System Framework in the short term.

The Second instance is the Vigorous Model: It refers to an occasion where invisible entities can modify and infect neighborhood networks. Invisible entities are contagious and can transfer to complicated parameters and move to Various System layers and external environments. These complex models would interact and modify attributes in defective entities by the first life cycle of interaction. The Vigorous Model may expand and process to a large system environment. An expert can barely detect and follow pattern development easily because of the inconspicuous nature of growth.

 

The Irrational and Rational Approaches Determine System Behavior

Many dynamical factors cause invisible entities in system platforms. The source of complexity sometimes refers to parameter setting in Global Variables, which is associated with sociology and anthropological perspectives. The irrational approach causes complexity, and it is described as follows:

1-Unreliable route guidance instructions and inaccurate system information may articulate for executing into system input.

2-Performance information flows into system input without revolving around availability constraints.

3-The unpredictable information processes an unaccountable context of knowledge across the system boundary.

The rational approach can lead to successful system development, and it is described as follows:

The controller must optimize Daily Routines, strategic asset allocation, and Global Variables as follows:

1-Employee Satisfaction.

2-Customer Value Proposition.

3- Ensuring product quality.

4- Analysis of the standard of the raw materials.

5- Goal setting for a marketing plan, identify business process model.

6- Ensure standardization in the IT platform.

7-The Product Benchmarking can create transparency.