Algorithmic security settings and operating system rules can be based on theoretical
and experimental activities. An instance of algorithm settings must be
compatible with strategies beyond Global Variables' usages and specific
operational details within subcomponents. Systems Owners articulate and
automate algorithm configuration models beyond Global Variables. System
regulations can guide and affect algorithmic settings for interaction
requirements. It embeds and Watches the Security System for proper use of
controllers. Security Scenarios can target critical observations and declare
analysis assessment. The Decision-Making Process initiates interpretative
views, and Controllers decide to rectify parameter values behind complex
scenarios based on analysis assessments. The rectification approach can modify
Scenario Parameters and instantiate Invisible Entities on system platforms (Fig
1. algorithm configuration analysis).
Invisible Entities may instantiate because of unrelated knowledge of the
External Domain. System Owners need to research External domains and follow the
instructions of external experts who have perceptions of social cognition
knowledge.
A significant test can implement and determine algorithm reliability for
security observations. The researcher applies the Stimulus-response Model in
Scenario Contexts. Controllers can register reactions to emotional stimuli and
track motivated attention, which captures algorithm reliability in the Security
System. Failures to respond accurately can instantiate Invisible Entities
in Biological and Non-Biological Systems.
Observation:
Algorithmic settings for the Watch Security System usually target
discrepancy values on Scenario Contexts. Discrepancy values call controllers
for targeting investigation and security measures. External entities may create
discrepancy values because of their unpredictable performance characteristics.