This interdisciplinary research
explores the automated daily processing cycles of instinct, focusing on the
feedback mechanisms of the Survival Instinct. It examines how vibrational
signals from a transceiver, embedded within the Subconscious Component, interact
with the Brain Framework. Specifically, the study investigates the second
automatic cycle of internal instincts and the underlying factors contributing
to the Belief System and the Resilient Instinct as mechanisms for tension
relief within individuals and social contexts.
A core methodology in this model is
Blackbox Testing, which is applied intuitively to analyze abstract algorithmic
patterns. This technique allows researchers to test internal instinctive
processes without directly observing their internal structure, focusing instead
on inputs/ outputs, stimuli/responses, code-processing, and behavioral insights.
(Fig. 1)
Symptoms such as extreme anxiety or
depression may indicate the activation of old open-loop cycles within
the Subconscious Component. These cycles transmit signals to the Survival
Instinct, urging it to release old instinctual patterns from deadlock modes. In
response, algorithmic mechanisms beyond the Survival Instinct select and
activate the most optimal network robustness of instincts for establishing
Closed-loop conditions. These mechanisms operate with high environmental
awareness, enabling adaptive decision-making in unpredictable or complex
external circumstances.
Crucially, the Brain Framework does
not always anticipate executing codes within the Subconscious Component.
Instead, it receives notifications after executing such algorithmic codes,
necessitating continuous learning and adaptation to emerging decision models.
The brain governs the real-time processing interface between the Subconscious
Component and the physical body, forming a dynamic and responsive control
system from the physical body into the Subconscious Component through
vibrational frequencies. (Fig 1)
Feedback Processing Cycle of the Survival Instinct
When the domain of the old open-loop
cycle of instincts is reactivated, algorithmic codes associated with the
Survival Instinct evaluate two primary alternatives to transition into
Closed-loop processing modes within distinct instinct:
1. Competitive Instinct Dominance
In the first alternative, the
Subconscious Component prioritizes a robust network of Competitive Instincts
and a weakened network of Cooperative Instincts. Algorithmic codes
within the Competitive Network are aggressive, forceful, and highly reliable
for immediate survival-oriented actions. This results in the execution of
high-intensity instinctual responses, which dominate the decision-making map.
However, these patterns may also lead to destructive behaviors and perpetuate
social turmoil due to the propagation of cynical and malicious codes. (Fig 1)
2. Cooperative Instinct Dominance
In the
second alternative, the Subconscious Component maintains a strong network of
Cooperative Instincts and a weakened or fuzzy network of Competitive Instincts.
Here, the algorithmic codes guiding cooperation are sufficiently robust to meet
survival needs while promoting internal balance. Logical codes in the Conscious
Component further support this pathway together with the regulatory framework
of the Superego structure, the Resilient Instinct, universal vibrational
phenomena, and an Optimal Belief System.
The
decision-making map in this configuration encodes benevolent and constructive
behaviors, promoting the alleviation of anxiety and fostering harmony within
social environments. This configuration's frequency resonates more closely with
peace and healing, creating a more stable and coherent system-wide response.
(Fig 1)
The Role of the Optimal Belief System
The Optimal Belief System can modify
algorithmic codes beyond the Resilient Instinct. Favorable modifications,
mediated through frequency signal responses from the Subconscious transceiver
and universal life-force vibrations, can stimulate healing and homeostasis
within mental and physical systems. Conversely, adverse modifications
may alter DNA structures across different cell types, generating and
propagating suboptimal or maladaptive codes in the physical body, the
decision-making map, and environmental contexts.

Definition of Instincts
Instincts are pre-programmed
algorithmic codes embedded within the Subconscious Component, transmitted
into the Brain Framework via electromagnetic waves. These codes form an innate,
complex behavior paradigm inherent to all members of Biological Systems with
indefinite, invisible instincts, each aiming to ensure and achieve genetic
survival. Instincts are genetically encoded and highly resistant
to modification from external environmental pressures. Vulnerability to fulfill
Closed-loop conditions within Open-loop instincts can cause behavioral
disorders in environmental contexts.
Most repetitive behavioral patterns
are instinctual and operate independently of logical reasoning or conscious
deliberation. In other words, instinctual behaviors typically bypass the
logical codes processed in the Conscious Component, directly guiding physical
actions in the real world. Biological systems have a vast and often
imperceptible array of instincts, and each is aligned toward achieving genetic
continuity and survival.
When Open-loop instincts fail to
resolve into Closed-loop conditions, i.e., when an instinctual need remains
unfulfilled or improperly processed, behavioral disorders and dysregulated
responses may manifest negatively within the organism's environmental context.
Functional Mechanisms of Instincts: Three-Phase
Processing
The functional processing of instincts follows a three-phase
cycle:
1-Open-loop Phase (Stimuli Initiation):
The process begins with detecting environmental stimuli, triggering a specific
instinctive response. Algorithmic codes process the brain structure and the
Subconscious Component through vibrations.
2-Processing Phase (Central Preparation):
The Subconscious Component activates algorithmic mechanisms and decision-making
pathways relevant to the detected stimuli, which command specific actions in
the physical world according to stimuli codes through body parts.
3-Closed-loop Phase (Response Completion):
Upon executing the instinctual action, feedback is received to resolve the
loop, confirming that the biological or behavioral need has been addressed in
the physical world; otherwise, a process signal to designate instinct for a new
loop or starvation.
Automated Processing Cycle of Instincts
The second phase, the Processing
Cycle, executes pre-programmed algorithms that translate instinctual
responses into real-world physical actions. Once an instinctual signal is
triggered, the Subconscious Component prepares the decision-making map by
deploying relevant algorithmic codes. These directives are transmitted to the
Brain Framework, which governs the corresponding physical or behavioral
response.
The cycle becomes complete, entering
a Closed-loop condition, when successful performance or fulfillment of the
action feeds back to the Brain, confirming the resolution of the original
instinctual impulse. In this way, the Brain also functions as a transceiver
of Consciousness, managing communication between the instinctual
Subconscious Component and the physical body and environments. (Fig 2)
Illustrative Example: The Food Instinct
Consider the case of hunger. When
human sensory systems detect the presence or absence of food, a stimuli
signal is sent to the Brain Framework, activating the Food Instinct as part
of the Open-loop phase. The Subconscious Component processes this signal and
initiates corresponding decision-making patterns.
During the processing phase,
the Brain becomes aware of the task, acquiring and consuming food, and sends
execution commands to the physical body. Once the individual consumes the food,
a feedback signal returns to the Brain, confirming the fulfillment of
the Food Instinct and establishing a Closed-loop condition. (Fig 2)
Throughout this process, the Brain
holistically monitors and controls all cycles of code processing. It remains
continuously aware of serial decision-making patterns and manages multiple
inference procedure blocks across varying time intervals, maintaining adaptive
coherence within the organism's behavioral system.

Observation 1: Dominance of
Competitive Instincts in Evolutionary Contexts
Empirical
studies suggest that most Biological Systems exhibit a dominant and vigorous
Network of Competitive Instincts, primarily shaped by the necessity for
survival in persistently hostile environments. These instinctual patterns have
evolved in response to continual environmental threats along the evolutionary
trajectory of life, reinforcing the resilience and adaptability of competitive
behavior.
Observation 2: Hierarchical
Processing Between Subconsciousness and the Brain Framework
Algorithmic
codes operating beyond the Subconscious Component direct the physical body through
the Brain Framework, which functions as a proxy processor. Decision-making
originates within the Subconscious Component and integrates with logical
structures in the Conscious Component. The Brain Framework is tasked with
executing these assignments during real-time processing cycles. However, the
brain cannot often anticipate future decision patterns, adequately respond to
dynamic environmental demands, or comprehend emerging decision models in
advance.
Although the
Conscious and Subconscious Components share structural and functional overlap
with the Brain Framework, disparities in their internal network compositions
can lead to systemic inefficiencies. These arise from heterogeneous integration
roadmaps and the significant energy required to maintain coherence across
dissimilar vibrational frequencies.
Observation 3: Limits of Human
Perception and the Obscurity of Life's Core Parameters
The fundamental
life parameters remain inaccessible to human sensory perception and academic
modeling. These non-transparent, meta-physical phenomena lie beyond
conventional human cognition. Their inherent secrecy introduces potential
dysfunction within the Subconscious Component and may inhibit the formation or
evolution of the Belief System, impairing decision-making stability and
personal resilience.
Observation 4: Harmonic Balance
and the Optimization of Systemic Variables
Optimal
systemic performance in Biological/ Non-Biological Systems can manifest the quality
of optimal global variables, and suboptimality implies disturbance within
Decision-Making Maps of systems owners and chaotic social contexts. Harmony in
algorithmic interactions promotes coherence, while imbalance introduces
volatility into environmental and social contexts.
Observation 5: Open-Loop Starvation,
Competitive Dynamics, and Harmonious Outcomes
Algorithmic
codes embedded within Old open-loop cycles, particularly within the Survival Instinct
registration domain, play a critical role in determining the nature of
competitive versus cooperative dynamics between individuals or groups.
Variables such as the number of unresolved open loops, cycle duration, and starvation
load within a specific instinct domain can suggest a system's potential to
attain harmonious equilibrium. For example, opponents may only be faithful if
the Survival Instinct has a short cycle time in the starvation process of old
open loops.
When these old
cycles of instincts remain in aggravated starvation loops, instincts struggle
to achieve Closed-loop resolution, resulting in heightened competition and
relational instability. However, shorter cycle durations in the starvation
phase can enable a swifter return to equilibrium, increasing the probability of cooperation, even
among adversaries.