The Role of Superego and Genetic Algorithms in Decision-Making

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.