The paradoxical algorithms of the Survival Instinct

The Survival Instinct within the Subconscious Component operates through paradoxical algorithmic patterns, some protective, others harmful. On the favorable side, advanced algorithmic patterns that transcend basic default survival responses serve as friendly mechanisms, activating when external threats arise. Once, in an open-loop processing mode, these instincts can trigger intense survival responses and request a Closed-loop mode, especially while previous cycles were left incomplete and unresolved to achieve the final process, so that a deadlock instinct may wait a long time for a process borrowed and withheld by other instinct submodules. In such scenarios, instinctual resources were denied, creating internal imbalance during an earlier stage. To restore stability and fulfill the requirements of a Closed-loop cycle, the Survival Instinct re-engages and collaborates with other proactive instinctual networks, seeking to complete the process and reestablish homeostasis.

However, complications arise when adverse algorithmic patterns, residual from the domain of the old open-loop or unfulfilled open-loop cycles, transfer false survival pattern signals to other instincts. These misleading codes replicate the structure of genuine instincts but lack real external stimuli. As a result, they propagate misleading instructions, creating vicious cycles of instinctive processing. These cycles misguide behaviors, triggering unnecessary or harmful decision-making patterns that deviate from survival needs in the physical world into deeper multiple deadlock instincts.

When these faulty codes dominate in the Subconscious Component, they can lead to chronic overactivation of instincts, resulting in confusion, anxiety, and self-destructive tendencies. Over time, this disrupts healthy decision-making processes and threatens individuals' alignment with their evolutionary path.

 

Observation:

Every open-loop instinct within the Instinct Component can be traced back to a domain within the traditional open-loop cycle. When an instinct fails to transition into a closed-loop condition, due to unresolved conflicts or unmet needs, it remains in a deadlock instinct in a starvation mode, seeking completion. This lingering unresolved state can corrupt future instinctual processing, especially if the unfulfilled instinct becomes entangled with new open-loop cycles, resulting in a deadlock starvation mode. Aggressive instincts are used to operate and target closed-loop conditions. However, most activated antagonistic instincts defer the optimal processing cycle and establish chaotic decisions.

In severe cases, such unresolved patterns may influence the behavior of systems owners or influential decision-makers, exacerbate systemic problems, and reshape the trajectory of human evolution in destabilizing ways.

 

 

Assessment of Aggressive Competitive Instincts

A strong and resilient ego structure, fortified by an intense network of aggressive competitive instincts and shaped by harsh social environments marked by low-quality survival conditions, can significantly enhance human competitiveness and drive influential decision-makers toward realizing their survival-oriented visions. In extreme cases, the Network of Wicked Instincts can activate forcefully through the Competitive Instincts, triggering intensified competitive impulses that escalate tension and anxiety across communities or systemic platforms.

This assessment examines how the Network of Competitive Instincts is perpetuated and encapsulated in the decision-making maps among Systems Owners while considering the influence of advanced algorithmic codes operating beyond these instincts within the Subconscious Component.

Possessing highly aggressive algorithmic codes offers a distinct advantage from a business perspective in the global market. Preprogrammed codes and default functional operation of instincts can remain outcome-oriented, removing obstacles swiftly and decisively. A dominant, ruthless code supported by an aggressive instinctual network rarely coordinates with the Network of Cooperative Instincts. Instead, its decision-making map may embrace unethical or hostile strategies if they secure competitive gains. Systems Owners shaped by this mindset are determined to dominate their environment, often forming temporary alliances only to dismantle them later when former partners become potential threats due to their insider knowledge.

While these aggressive and “wicked” algorithmic codes can effectively solve critical problems and sometimes stabilize higher-order systems, they often create turbulence within social structures. Their relentless drive for dominance can erode trust, fuel disorder, and escalate conflicts, increasing the risk of communal instability and long-term societal harm.

 

Ethical Dimension in Cruel Environments

 

An intense network of aggressive, competitive instincts can reinforce a strong and resilient ego structure in a cruel environmental dimension. It can amplify human competitiveness and drive influential decision-makers toward achieving their visions. This analysis examines the Network of Competitive Instincts among Systems Owners while considering the role of advanced algorithmic codes that operate beyond these instincts within the Subconscious Component.

 

Highly aggressive algorithmic codes present a clear advantage.

 

Optimal codes remain outcome-oriented, swiftly eliminating obstacles without hesitation. A dominant and ruthless code, supported by an aggressive instinctual network, rarely coordinates with the Network of Cooperative Instincts. Instead, it prioritizes measurable functional processes to subordinate opponents in powerful success, even if this requires unethical or hostile strategies. Systems Owners shaped by such codes often form temporary alliances only to dismantle them later when former partners become threats due to insider knowledge.

However, from the perspective of the Algorithmic Instinct Network (AIN) model, this aggressive coding reflects a lower evolutionary stage of instinctual development. It embodies what can be called Survival-Dominance Codes, algorithmic pathways rooted in fear of loss and scarcity. Spiritually and ethically, these codes represent a contraction of logical data within the Conscious Component, where decision-making remains bound to competitive survival logic rather than transcending toward higher cooperative survival.

The AIN suggests that, under specific conditions, aggressive and wicked algorithmic codes can be transformed into friendly codes. When exposed to higher vibrational frequencies, such as empathy, moral reasoning, or a conscious recognition of interdependence, these codes can gradually realign with the Cooperative Network of instincts. This shift reflects a spiritual evolution in which the same powerful drive that once sought domination becomes redirected toward constructive leadership, systemic harmony, and collective well-being. Thus, while aggressive competitive instincts can temporarily solve critical problems and establish order, their unchecked dominance risks fueling social instability and ethical decay. The deeper spiritual challenge lies in transcending the primal survival layer of algorithmic coding and activating higher-order cooperative networks that integrate ambition with moral responsibility and long-term communal flourishing. 

The Algorithmic Instinct Network (AIN) proposes that aggressive or wicked algorithmic codes are not fixed but can be transformed under specific conditions. When these instinctual patterns are exposed to higher vibrational frequencies, such as empathy, ethical awareness, or a conscious sense of interdependence, they can gradually realign with the Cooperative Network of Instincts. This transformation marks spiritual evolution, where the same instinctual force that once drove domination and control becomes a source of constructive leadership, systemic balance, and collective well-being. While aggressive competitive instincts can help solve urgent problems and bring short-term order, relying on them too much can damage society and weaken ethical values. The deeper spiritual challenge is to move beyond the basic survival instincts stored in the Subconscious Component and activate higher cooperative pathways. These advanced networks combine ambition with moral awareness, helping guide decision patterns toward lasting harmony and collective evolution.