Systems Owners often design
algorithmic codes that extend beyond global variables, particularly when viewed
through economic lenses. These algorithmic frameworks are intended to enhance
ethical decision-making and drive system development. While global variables
aim to optimize control mechanisms for economic efficiency and operational
performance, they may also introduce unintended consequences. One notable risk
is the emergence of error code misalignments between general goals and the
needs of specific entities within the system platform. Economic constraints can
hinder feedback loops, making it difficult for some components or agents to
receive necessary adjustments.
A key operational challenge in Biological
and Non-Biological Systems is the financial limitation of allocating optimal
resources. This cost sensitivity affects how Systems Owners manage decisions
and deploy algorithmic strategies. However, a holistic economic analysis within
system platforms can unlock latent potential in the Network of Competitive
Instincts and activate specific instance modules within the Subconscious
Component. This dynamic can, paradoxically, render ethical codes ambiguous when
pushed beyond the constraints of global variables.
The intersection of algorithmic
thinking, system development, and global strategy plays out differently in
Biological and Non-Biological Systems:
Biological Systems
In Biological Systems, global variables act as signaling mechanisms that
influence how system resources are allocated, for example, in product quality
management or survival strategies. However, these mechanisms often conflict
with the principles of Human Nature, particularly in the context of labor and
routine operational tasks. Side effects stemming from the daily enforcement of
algorithmic structures can introduce systemic complexity. Such complexity can
trap Biological Systems in a vicious cycle, where increasingly intricate
algorithms generate feedback loops and inefficiencies. Moreover, the struggle
to secure basic survival resources within environmental constraints can create
tension with the overarching economic principles of choice and optimization.
Non-Biological Systems
In contrast, Non-Biological Systems such as machines and AI-driven platforms
rely on coded decision-making that may impose suboptimal interactions on
end-users. Consider the example of traffic light systems: suboptimal algorithms
in this domain can generate widespread disruptions, such as traffic jams, where
failed signals result in confusion and delay. Drivers, as end-users, are often
left to interpret and respond to these suboptimal conditions, developing their adaptive
models, sometimes in line with traffic laws, sometimes in opposition to them.
Such behavior illustrates how suboptimal codes can influence and even reshape
social norms.
While efficient and often persuasive in their logic, AI programs rely on
global variable algorithms that aim to promote positive behavior. However, when
these systems fail, such as during persistent traffic signal malfunctions, they
can trigger cascading effects on social behavior. These failures, rooted in
systemic code deficiencies, may reflect deeper issues in how Non-Biological
Systems are structured and managed. In this context, Systems Owners and infrastructure
controllers (e.g., traffic systems) bear responsibility for the broader social
implications of algorithmic shortcomings.
This study
applies the Black-box Testing Method to assess the external behavior of systems
without direct access to their internal workings. A Bottom-Up Approach
investigates software's structural and functional attributes, emphasizing their
interactions with system behavior's Conscious and Subconscious Components.
Observations on Systemic Suboptimality
1-Global Variables and Social Side Effects
Systems Owners must be critically aware of the encapsulated global
variables they design, as these may inadvertently compel system users to adopt
failed social roles or rigid social norms. Without proactively identifying and
mitigating these side effects, end-users are left to experience and propagate
them, potentially triggering a vicious cycle within broader environmental and
social contexts.
2-Invisible Entities from Prolonged Suboptimality
When left uncorrected across evolutionary time scales, sustained suboptimal
perceptual performance can lead to the emergence of invisible entities in
Biological and Non-Biological Systems. These entities operate beneath conscious
detection yet influence system behavior, potentially distorting feedback
mechanisms and decision-making processes.
3-Humans as Artificial Intelligence Systems
Humans can be conceptualized as artificial intelligence, governed by
programming codes extending beyond instincts and DNA. Instinctual components
and genetic communication interact through expansive vibrational frequency
patterns. The brain serves as an intermediary framework, linking the Conscious
Component to the physical body and facilitating signals' transmission across
biological and energetic dimensions. At the core of decision-making, each instinct
may operate through three embedded cycles between the Subconscious Component
and the physical body within environmental contexts:
1-Open-Loop (Trigger/Perception)
2-Processing (Analysis/Conflict)
3-Closed-Loop (Resolution/Feedback)
These cycles also represent fundamental operational structures between the core
of artificial intelligent systems and environmental contexts.
1-The Role of the Hypocrisy Instinct
Social hypocrisy is a contagion within the Conscious Component, contributing to
the formation of invisible entities and cognitive dissonance. While regular
truth-telling may be a psychological remedy, the Hypocrisy Instinct, activated,
and embedded cycle codes within the Subconscious Component perform a vital
adaptive function. It responds to the Survival Instinct during threats,
enabling individuals to navigate hostile or deceptive environments. This
instinct is an instance within the Network of Competitive Instincts and is
often activated by algorithmic mechanisms shaped by Systems Owners.
As Systems Owners implement competitive global strategies, their own Hypocrisy Instincts may unintentionally shape the decision-making architecture, embedding hypocrisy as a systemic pattern to harmonize internal complexity against external forces.
As Systems Owners implement competitive global strategies, their own Hypocrisy Instincts may unintentionally shape the decision-making architecture, embedding hypocrisy as a systemic pattern to harmonize internal complexity against external forces.
2-Suboptimal Gender Instincts and Social Coding
The Gender Instincts, as fundamental modules within the Subconscious Component,
are vulnerable to distortion from suboptimal algorithmic codes embedded in
social systems. When global variables governing societal norms misalign with
innate gender expressions, suboptimal feedback loops emerge. These distortions
can produce invisible entities in social contexts, further destabilizing
authentic gender dynamics and reinforcing systemic suboptimality.
