Decision-Making Patterns Can Highlight the Significant Role of the Subconscious Component
Abstract
This study was motivated by the
identification of a recurring long-term issue in IT project execution. The
failure to meet project deadlines is due to the Systems Owners’ involvement in
decision-making regarding internal project resource activities. Prior academic
research in this area indicates that poor decision-making at higher
organizational levels is a primary contributor to project performance failures.
Systems Owners often approach decisions from an economic perspective while
possessing limited insight into internal project dynamics, which can negatively
affect project outcomes.
This observation prompted an
investigation into the underlying algorithmic structures that govern
decision-making and the paradoxical effects they produce on project activities.
A comprehensive review of decision-making models reveals that similar patterns
are evident not only in large corporations but also at national and global
levels, particularly regarding environmental consequences. These parallels
suggest systemic influences on performance outcomes across different scales.
The study further explores the origins
of these algorithmic decision-making patterns beyond conventional models,
tracing them along the evolutionary trajectory of human behavior. The findings
suggest that decision-making may be influenced by nonphysical or paranormal
domains, in which complex, invisible functional mechanisms propagate
vibrational signals within the brain, shaping human behavior and life
structures. These mechanisms represent algorithmic patterns that extend beyond
the traditional Conscious and Subconscious Components of human decision-making
models.
Background
The legitimacy of structural operations in Non-Biological
Systems, along with the paradox of harmonic balance in Biological Systems, has
long been a subject of controversy. These debates have often been distorted by
mainstream media, amplifying their perceived role in significant cultural and
political shifts. In practice, the structural design of business organizations
frequently creates significant barriers to executing critical tasks across
system platforms. These challenges are primarily driven by strategic
constraints, such as hierarchical budgeting, rigid governance models, and
pressure to accelerate time-to-market.
Innovation
within system platforms and their subordinate layers is shaped by continuous,
ambiguous signals from higher-level structures and by internally entangled
profit motives. As a result, system controllers tend to replicate standardized
procedures and repeat systemic errors across projects, even when addressing
long-term strategic performance. This pattern reinforces inefficiencies and
limits adaptive learning across organizational boundaries.
System Owners, by contrast, emphasize cost-effectiveness and economic sustainability
as fundamental principles of accountability. Their priorities include system
compatibility, resilience, and survival within an intensely competitive global
environment. Large corporations and global elites have engineered financial
structures to ensure robustness within the unseen domain of global competition.
Systems Owners address the central finance structure within the core
algorithmic frameworks, extending beyond the systems’ global variables.
Theoretical
approaches to burden reduction, survival maintenance, and the minimization of
costly decision paths can restore more efficient resource allocation across the
global economic structure. However, these optimizations often alter or weaken
the foundational values associated with harmonic balance in both Biological and
Non-Biological Systems. Influential decision-makers, therefore, tend to
prioritize profitable growth and long-term dominance by aligning strategies
with competitive advantage rather than systemic equilibrium among human resources.
Within
this context, a network of competitive instincts operating at the subconscious
level among Systems Owners and global elites can shape algorithmic decision
codes that transcend conventional frameworks of global competition. These
patterns are frequently used to justify how human societies and environmental
resources persist along an evolutionary trajectory through selective decision-making
on Earth.
A
fundamental disconnect arises between social behaviors and system operations
when defining ethical principles and moral values, mainly because default
configurations within Biological and Non-Biological Systems interact with
environmental constraints. This obscurity can be reduced if Systems Owners
cultivate a Cooperative Network of Instincts within their Subconscious Components
and decision layers, allowing ethical principles to be embedded directly into logical variables
in the global competition platform.
By
adopting logical models and advanced coding frameworks that extend beyond
traditional decision-making paradigms, it becomes possible to achieve a more
harmonious balance between Biological and Non-Biological Systems. Such
integration supports the fulfillment of critical roadmap objectives while
promoting long-term system resilience and prosperity within optimal
environmental conditions.
Problem
System Owners are increasingly
adopting and enforcing aggressive algorithmic thought settings within the
Conscious Component, moving beyond traditional economic models in response to
pressures from the global competitive domains and a perceived need to maintain
system stability. These competitive strategies frequently leverage fears of
incompatibility and survival within hostile environments. Over time, however,
such approaches risk diminishing human value, as ethical priorities are
deprioritized and the maintenance of human resources is treated as a liability
rather than an asset.
Strategies centered on competitiveness
in Non-Biological Systems, along with financial performance metrics in the
Competitive World, can erode everyday security. They may generate persistent
open-loop cycles within subconscious processes, imposing vulnerability and
activating and fortifying the Networks of Competitive Instincts within the
Subconscious Component. Legacy open-loop states, such as deadlock or starvation
modes, can further degrade decision-making by obstructing the integration of
logical data produced through conscious cognition. When unfriendly algorithmic
modules operate within the Subconscious Component of influential
decision-makers, they can contribute to chaotic conditions across broader
environmental systems on the evolutionary path of life.
Purpose
This research
explores the scope of complex algorithmic processes that operate beyond global
variables through Systems Owners and examines the functional role of the
Subconscious Component in shaping logical data within Conscious Components. In
Non-Biological Systems, Systems Owners function as articulated global variables
that maintain compatibility with universal financial objectives and the demands
of a competitive environment.
The
observational study investigates how Systems Owners manage conflicts and
resolve systemic challenges using productivity-driven and economic principles.
Their actions may be influenced by heightened activity within an aggressive
Network of Competitive Instincts embedded in the Subconscious Component,
guiding responses to internal and external system pressures. However, unmanaged
competitive impulses may have adverse consequences, including the erosion of
fairness and social values within Biological Systems and, eventually,
environmental contexts.
This research
aims to raise awareness among Systems Owners and key decision-makers about the
importance of sustaining a balanced relationship between Biological and
Non-Biological Systems. Achieving such harmony is essential for overcoming
social and systemic obstacles. While Systems Owners may encounter difficulties
in moral internalization and ethical decision-making, the constructive
functions of the Subconscious Component can support the development of ethical
judgment and socially responsible outcomes.
Goal
The primary objective of this research
is to examine the effectiveness of algorithmic codes that extend beyond the
Subconscious Component in identifying and resolving complex decision-making
patterns. The study investigates the extent to which optimal logical data
within the Conscious Components can regulate and moderate intricate algorithmic
structures that emerge in competitive and socially dynamic environments.
Additionally, the research aims to
define and analyze key modules within the Subconscious Component that can adapt
and align with realistic decision-making processes. By doing so, it seeks to
eliminate unethical bias signals and support the sustainable development of
both Biological and Non-Biological Systems.
The findings of this study aspire to
provide valuable insights for researchers and System Owners, highlighting the
potentially harmful impact of ambiguous or fuzzy algorithmic code operating
beyond the Subconscious Components. Furthermore, the study demonstrates how
such codes can influence and shape characteristics of global variables within
Biological and Non-Biological Systems.
Method
This study adopted
an ethnographic approach grounded in a systems theory framework to capture noisy
algorithmic signals that operate beyond conventional global variables. An
agnostic epistemological stance guided the inquiry, enabling the examination of
interoperability between Biological and Non-Biological Systems without
privileging predefined data patterns. Analytical frameworks drawn from Social Cognitive
Theory, the black-box testing model, and stimulus–response theory were employed
to examine prognostic patterns in system measurements and output properties
across selected case studies. The research followed a bottom-up methodology to
interpret the abstract and highly complex operational domains of large-scale
corporations and opaque global elites. Within this context, competitive systems
were understood as being structured around paradoxical value sets engineered to
circumvent or neutralize functional mechanisms in opposing domains. An intuitive analytical layer was further applied to
investigate how hypothetical source codes, originating and distributed beyond
formal modules within the Subconscious Components of influential
decision-makers, resonated with global system variables. Subsequently, these
algorithmic codes were then traced as they evolved and materialized within
broader social structures.
Limitations
This summary research introduces a
visual framework intended to represent an abstract conceptual model that
extends beyond conventional algorithmic descriptions of non-biological systems,
spanning physical and non-physical domains. The model relies on metaphorical
analogies to Biological Systems and situates algorithms within broader
environmental contexts. The study is grounded in a contemporary systems-theory
paradigm shift, which may present interpretive challenges for readers
unfamiliar with such frameworks or with structural abstraction methodologies.
Additionally, the conceptual model is embedded within the constraints of a
formal research paper publication, and certain representational elements are
limited by intellectual property protections, potentially restricting complete
methodological transparency.
Research views
Global actors
may, at times, encourage competitive economic dynamics to sustain growth and
preserve functional equilibrium within broader societal systems. Within such
interconnected frameworks, crises can display contagion-like characteristics,
spreading across sectors with varied material expressions and developmental
trajectories. Disruptive events, some inherent to natural processes and others arising
as unintended byproducts of systemic stress, may manifest as these crisis
dynamics.
Key Research Terminology
Systems Owners
In this study, Systems Owners refer to individuals, executive
bodies, or governing authorities responsible for the strategic direction and
operational oversight of enterprises, organizations, communities, or
nation-states. Their responsibilities include resource allocation, revenue generation,
institutional governance, strategic planning, and long-term sustainability.
Systems Owners function within established regulatory and legal frameworks
while managing systemic stability and coherence, performance, resilience, and
adaptation.
Biological Systems
Biological Systems are adaptive, cognitive, and behavioral systems
(humans). Within this research framework, humans are analyzed in terms of
internal regulatory processes, as integrated cognitive–behavioral systems
influenced by internal regulatory mechanisms and by interactions with external
environmental forces.
Non-Biological Systems
Non-Biological Systems encompass structured collective and institutional
entities, including corporations, public institutions, communities,
manufacturing systems, module/ submodules of devices, technological
infrastructures/components, digital platforms, and, where applicable,
nation-states. These systems are examined as structured operational entities
characterized by defined inputs, transformation processes, outputs, governance
mechanisms, and adaptive responses to internal and external conditional
pressures. The structural algorithms need to provide and meet specific criteria.
Global Variables in Non-Biological Systems
Within Non-Biological Systems, Global Variables are high-level
structural determinants that regulate system behavior and constrain operational
dynamics. Examples include constitutional and legislative frameworks,
macroeconomic policies, governance structure models, organizational strategies,
and the architectural design principles underlying technological systems. These
variables establish boundary conditions and influence system-wide performance
and adaptability.
Global Variables in Biological Systems
In Biological Systems, Global Variables refer to foundational
cognitive and regulatory processes embedded within the Subconscious Component.
These processes include pre-structured cognitive schemas, extend beyond
instinctual drives and affective regulation mechanisms, and include learned
Belief Systems and Ego/Superego dynamics that influence perception,
interpretation, and decision-making. Such variables operate as underlying
determinants of behavioral patterns across social contexts.
Global Competition
Global Competition denotes the strategic arena in which influential
decision-makers, macro-level interactions among state and non-state actors,
elites in economic institutions, and transnational entities allocate resources,
thereby influencing Systems Owners' strategy. Strategic advantage among
economic actors shapes global resource distribution along trajectories. In this
study, the term refers to structural dynamics within global political and
economic systems rather than to specific individuals or informal groupings.
The Subconscious Component
The Subconscious Component is conceptualized as
a black box with preprogrammed algorithmic code as a latent processing system
characterized by defined input–output parameters. It contains preconfigured
algorithmic structures that operate beyond the immediately observable
functional mechanisms of cognitive modules and submodules involved in human decision-making
in response to external stimuli.
This latent system regulates
instinctual and adaptive responses through three primary processing cycles that
interact dynamically with neural architecture and environmental contexts:
1-Open-loop cycle: initial stimulus
activation from external forces, and initiates processing feedback.
2-Processing cycle: internal
modulation and integration of signals through nonphysical and physical domains.
3-Closed-loop
cycle: feedback-informed adjustment and regulatory stabilization.
Core modules within the Subconscious
Component include the Instinct Component, the Belief System, the Ego–Superego
regulatory frameworks, and foundational pre-reflective cognitive units, Iceberg cells.
The Instinct Component comprises three principal submodules:
1-General instincts are related to external
stimulation and responses through three primary processing feedback. It includes,
as primary instinctive factors, survival, hunger, expansion, and adaptive
innovation.
2-Gender-related instincts are associated and
drive preprogrammed algorithmic codes beyond gender decision-making models.
3-Genetic instincts are innate, genetically encoded behaviors passed down
through generations, allowing humans to respond automatically to environmental
stimuli without prior learning or experience.
The Superego Adjuster
The Superego Adjuster refers to the
regulatory interface through which sociocultural and normative structures
influence cognitive and behavioral calibration. It operates within the physical
and social environment and draws upon structured domains embedded in the
optimal submodule of social contexts. These domains include: 1-Religious
systems, 2-Life philosophies, 3-Psychoanalytic and psychological constructs, 4-Disciplined
or austere lifestyle frameworks, 5-Cultural paradigms, 6-Empirical and
experimental knowledge, 7-Ethical standards, 8-Artificial intelligence systems,
9-Scientific knowledge frameworks. Through these domains, the Superego Adjuster
modulates normative alignment, moral reasoning, and socially adaptive behavior.
The Superego–Ego Structural Dynamics
The Superego–Ego structural dynamic
represents an internal regulatory interaction that maintains rational
deliberation within foundational pre-reflective cognitive units and safeguards
feasible reasoning within the Conscious Component. This dynamic facilitates
negotiation between two instances of instinctual impulses, normative
constraints, and contextual demands, thereby promoting cognitive coherence and
behavioral stability in the Conscious Component through the Iceberg cell
structure.
The Conscious Component
The Conscious Component serves as an
explicit data repository for storing, organizing, and analyzing experiential
information relevant to decision-making. It integrates structured logical
submodules, memory systems, and belief-based evaluative frameworks. Effective operation depends on a
stable regulatory balance within foundational pre-reflective cognitive units,
enabling the seamless transfer of data from subconscious
processing streams into conscious analytical processes. Subconscious processing outputs are
integrated with key conscious modules, including logical reasoning structures,
memory components, and belief systems, resulting in executable cognitive
outcomes within a higher-order integrative mechanism through the Subconscious
Compiler.
Observation:
The frontier research study, "Invisible
Entities in Your System," explores the intersection of the
Conscious Component in paranormal phenomena with the physical world. Its central hypothesis proposes a
decision-making model grounded in the algorithmic structure of the Subconscious
Component. As a pioneering investigation, this work establishes a foundational
framework for future inquiry and potential breakthroughs in understanding these
domains. The study
posits that subconscious algorithmic codes shape decision-making processes through
environmental interactions and generate a theoretical basis for explaining paranormal
experiences.
Observation:
This research summary, presented as a life journal, is
dedicated to the Supervisor of the realm of global consciousness, the designer
of Biological Systems, who comprehensively understands the case study. He can
identify, determine, and assess common pitfalls in data accuracy in this
project over the past 25 years.
"The blog traces
the development of footnotes and integrates extensive research excerpts framed
as observational analyses."
