This interdisciplinary research
explores the algorithmic structures operating beyond the Grief Instinct and
examines the functional mechanisms underlying the Iceberg Cells. Grief
represents a profound emotional response to loss, often triggering sadness or
anxiety and leading to chemical imbalances within the brain’s architecture.
External stimuli can activate specific signal codes within the Grief Instinct,
initiating an Open-loop Cycle.
Under normal conditions, the Grief
Instinct employs a default mechanism designed to establish Closed-loop Cycles,
aiming to maintain harmonic balance across the Biological Systems. However,
when external stimuli are numerous and varied external forces processed through
complex permutation algorithms, this default mechanism struggles to maintain
closed-loop stability.
The Survival Instinct aims to identify
optimal instinctive responses with the shortest execution time to re-establish
closed-loop conditions. It dynamically substitutes compatible existing
instincts when they become suboptimal or unstable. Each substitution represents
and informs a cycle of starvation interval that extends beyond the traditional
Grief Instinct.
A Black Box Testing Method is employed
to explore these dynamics. This method focuses on uncovering algorithmic
patterns beyond the Grief Instinct, investigating the functional mechanisms of the
Iceberg Cells, and mapping the operational framework of instinctive components.
A specific signal code is generated
within the Grief Instinct when a tragic event occurs, resulting in the loss of
a person, experience, or resource vital to evolutionary development. This code,
processed through the central nervous system, initiates an Open-loop Cycle.
Harmful return codes, transmitted as vibrational frequencies from the
subconscious to the brain and body, disrupt the biological system’s chemical
balance. As a result, overwhelming feelings of sadness or anxiety are
experienced. (Fig 1)
When external entities in social
contexts stimulate the Grief Instinct and generate an Open-loop mode within
instinct, the functional mechanisms automatically deploy their default source
codes to initiate a Closed-loop Mode. (Fig 2)
The default mechanism for the closed loop
within the Grief Instinct facilitates the transfer of positive signals from the
Subconscious Component into the Brain Framework via specific vibrational
frequencies. These positive signals adjust and comfort the Biological Systems,
promoting grief relief and supporting a positive emotional state. Subsequently,
positive feedback signals from the Biological System return to the Grief
Instinct, verifying and sustaining harmonic balance throughout the system. (Fig
2)
Biological Systems often struggle to
achieve proper harmonic balance and grief relief when the default mechanism for
Closed-loop operation within the Grief Instinct attempts to transfer signal
codes to the Brain Framework. In the case of possible difficulty, it indicates
the presence of an unsupported Default Key for the Closed-loop process within
the Grief Instinct. Algorithms operating
beyond the default protocol codes within the Grief Instinct are typically
insufficient to address the increasing complexity of social contexts. As a
result, the Grief Instinct shifts into an Open-loop Condition several times,
and the Biological Systems remain in a prolonged starvation mode. When the Grief Instinct is trapped in
an Open-loop state, its source codes initiate a call to algorithmic codes embedded
within the Iceberg Cells to re-establish a Closed-loop condition. An adapted
harmonic balance is formed between the Superego and Ego within the structural
framework, creating a Network of Cooperative Instincts to restore the Closed-loop
function. This Network of Cooperative Instincts
actively attenuates noise and manages complexity within the Grief Instinct,
facilitating the reestablishment of a Closed-loop Cycle. The Network operates
defensively, strategically exploring logical codes to stabilize the system. As
a result, the Open-loop condition transitions back into a Closed-loop mode in a
relatively short period. (Fig 3)
When the Grief Instinct remains in an
Open-loop mode, and a non-adapted harmonic balance persists within the Iceberg
Cells, the source codes of the Grief Instinct request algorithmic codes
embedded in aggressive networks to enforce a Closed-loop feedback mode.
The Network of Competitive Instincts
can rapidly impose a Closed-loop mode; however, it often carries properties
fundamentally incompatible with the Grief Instinct. As a result, the imposition
of the Closed-loop mode becomes highly complex, leading to side effects and the
emergence of irrational decision-making models along the evolutionary path of
life and environmental contexts.
Unlike cooperative networks, which
operate defensively, the Network of Competitive Instincts operates offensively
without regarding possible consequences in surroundings. The logical data in
the Conscious Component may not entangle with the decision-making map. Rational
antagonistic codes target and struggle to explore or stabilize a Closed-loop
cycle fully at any rate. (Fig 4)
Algorithmic codes originating beyond
the Network of Competitive Instincts induce a Starvation Mode within the Grief
Instinct in case of failure experiences. In this state, the feedback control
system of the Grief Instinct experiences a deadlock, struggling to identify the
algorithmic parameters embedded within the feedback signals transferred from
the Network of Competitive Instincts. As a result, a halt occurs, shifting the
signal code back into input mode for further aggressive modification attempts.
However, receptors within the Grief
Instinct often fail to match these modification codes properly. Consequently,
the sensor framework continuously propagates signal codes through the feedback
control system, initiating a search for a new control configuration in a second
cycle. During this process, the Open-loop mode can generate multiple cycles of deprivations
within specific intervals, causing the Grief Instinct to persist in an
Open-loop condition and Starvation Mode over the long term. Sometimes, algorithmic signals from
the Network of Competitive Instincts may temporarily establish an innovative
Closed-loop condition. Although this Closed-loop operation can foster specific
types of understanding, it is often undermined by illogical codes embedded
within the process. These codes contribute to the formation of complex and
intricate Decision-Making Patterns within social contexts along the
evolutionary path of life.
Notably, most instincts within the
Network of Competitive Instincts adopt aggressive operational postures,
further complicating the system’s adaptive responses. (Fig 5)
When the Grief Instinct enters Starvation
Mode, it signals the Survival Instinct for assistance, typically triggered by a
request from other vigorous instincts to rescue the Grief Instinct, a signal
code carrying comprehensive data about its starvation state and related
interruption scenarios. In the case of Closed-loop recovery, the signal can be
propagated back to the structure of Survival Instinct.
In response, the Survival Instinct
transmits a signal to the Subconscious Component, reporting the establishment
of Closed-loop conditions and recovery process within the Grief Instinct. (Fig
6)
For example, the X Instinct, which may
possess properties fundamentally incompatible with the Grief Instinct, could be
nominated for this recovery effort because it offers the shortest execution
time among available instincts. Although the X Instinct can rapidly establish a
Closed-loop Cycle, its incompatibility can also lead to the creation of a complicated
Decision-Making Model. (Fig 6)
Furthermore, logical code encapsulation
within the Decision-Making Map with a moderate Superego structure often weakens
social behaviors, as strong Ego forces and hostile Competitive Instincts within
the Subconscious Component heavily influence decision-making patterns. As a
result, the Decision-Making Model tends to generate negative signals, which are
then transmitted back to the Grief Instinct to maintain so-called Closed-loop
conditions.
This process can foster the emergence
of complex social behaviors in broader social contexts, driven by the
aggressive operational posture of certain instincts. Ultimately, unresolved
grief mode can lead to numerous unique processes or even new tragic events within
environmental contexts. (Fig 6)
Observations:
1-Execution Time and Instinct Compatibility:
Instincts with
the shortest execution time often struggle to establish Closed-loop conditions
because their default mechanisms for handling Open-loop states are incompatible
with the operating mechanisms of the Grief Instinct. Instincts selected solely
for their rapid response tend to generate failure patterns in decision-making,
offering little comfort in the face of loss. This mismatch contributes to
increasing complexity within social behaviors and environmental contexts. The
Survival Instinct continuously selects subsequent instincts based on the
shortest execution time, each selection triggering a new Open-loop cycle and
prolonging starvation mode.
2-Algorithmic Mechanisms of Open-loop and Closed-loop Modes:
Both Open-loop
and Closed-loop operational modes are governed by default algorithms that are
preprogrammed within the domain of instincts.
3-Impact of In-depth Grieving on Decision-Making:
An extended and
intense grieving process can impair optimal decision-making capabilities, often
leading to emotional states such as anger, depression, and the manifestation of
additional tragic events.
4-Ego Development in Harsh Environments:
Individuals with a strong Ego structure tend to endure harsh environments
over prolonged periods. The Ego evolves and strengthens through exposure to
unstable conditions and social chaos. Its critical function is to coordinate algorithmic
codes beyond the Superego Adjuster and sequence logical data within the
Superego structure in the Conscious Component. A harmonic dialogue between the
Ego and Superego fosters the development of a coherent relational data model in
the Conscious Component. Conversely, when the Superego has weak structural
codes, and the Ego is a robust mechanism, multiple incomprehensible
decision-making patterns emerge.
5-Spiritual Lifestyle Development:
Spiritual lifestyle develops with the interaction of invisible entities that
influence the harmonic balance across Biological/ Non-Biological Systems and
environmental contexts because of the holistic role of attentional forces in the
Subconscious Component. The Survival Instinct may capture signals for possible
chaotical situations in surroundings so that defensive instincts accumulate
data from external forces. Humans may allocate new life perceptions and touch vulnerability
in social contexts.
6-Research on Invisible Entities:
Invisible entities can be studied using a bottom-up approach research model and
the Black Box Testing Method. Researchers aim to construct observational studies
to formulate hypothesis statements for detecting untouchable model predictions
and manage to analyze algorithmic codes of invisible entities within systems
platforms.
7-The Nature of Human Existence:
Humans are spiritual entities engaging in physical experiences on Earth. Our
physical existence on this planet represents one instance among many within the
broader framework of Parallel Universes.
