This case study
explores abstract algorithmic mechanisms that influence the logical codes of the
Conscious Component and impact hypothetical decision-making processes.
Algorithmic mechanisms, particularly those involving instincts and the Superego
framework, have the potential to reshape characteristic neurobiological patterns related to
decision-making models. External environmental factors continually influence
the superego adjuster, primary instincts and instances of genetic codes
(preprogrammed codes beyond each instinct). The Superego Adjuster functions
within social contexts, encompassing aspects such as religion, philosophy of
life, psychoanalytic factors, austere lifestyles, cultural paradigms, ethical
norms, and materialistic perspectives. As a subjective phenomenon, the Superego
Adjuster can alter the state of the Superego Framework itself.
The functions of
the Superego Structure can either inhibit or enhance optimal performance in
secondary instincts. Specifically, the Superego can impose restrictions on specific
functions within secondary instincts and, in some instances, can select primary
instincts. Additionally, algorithmic mechanisms beyond genetic functions can
influence operations in secondary instincts. As a result, the performance of
these secondary instincts relies on two feedback channels, which together
determine which primary instincts can achieve and sustain a Closed-loop mode of
operation. Those two channels are as follows.
1- The Genetic Algorithms
(preprogrammed codes beyond instincts or blueprint of instincts).
2- The Superego
framework (preprogrammed codes of functions behind the Superego Structure).
The combined
effects of these algorithmic mechanisms and Superego functions can shape and
establish the logical part of the Conscious Component. When optimally modified
interactional codes of these two channels, the actual conceptual model promotes
an optimal decision-making process within social contexts.
