Happiness is a
variable that emerges from a Network of Instincts within the subconscious mind.
The underlying algorithmic codes that shape happiness rely on the functionality
and alignment of this Network of Instincts. Happiness can be interpreted and predicted
by the dominant Network of Instincts combined with a strong Superego or Ego
framework. For instance, a Network of Competitive Instincts paired with a
robust Ego structure fosters independent happiness. In contrast, a Network of
Cooperative Instincts tends to support dependent happiness.
Dependent
happiness is contingent on expectations related to environments, people, and
specific circumstances, making it more vulnerable when a single factor fails to
meet these expectations. The Network of Cooperative Instincts, particularly
those tied to the Empathy Instinct and the Superego framework, are vital in
navigating decision-making.
Independent
happiness, on the other hand, is focused on personal well-being, independent of
external events or conditions. The Network of Competitive Instincts, especially
those tied to the Apathy Instinct, alongside the Ego structure, can
significantly influence decision-making models to provide
expectations.
