This study
outlines an intriguing interdisciplinary approach to understanding gender and
sexual instincts by framing them as algorithmic codes operating an underlying Subconscious
Component. Here is a summary and some key points of the concepts:
1. Default Functional Mechanisms of Sexual Instincts:
Gender/Sexual
Instincts: Enclosed units in
the Subconscious Component contain abstract preprogrammed algorithmic codes
that guide and shape behaviors and decision-making patterns in males/females
related to intimacy and factors influencing social interactions.
Distinct
Functions in Genders:
1-Females: Focus on intimacy and emotional bonds, supported by
Conscious Component for executing decision-making models for selecting partners
based on trust and affection.
2-Males: Biological hormones influence perceptions and characteristics
of a heterosexual male and are more likely to focus on physical appearance and
situational factors associated with overriding emotions. Their Conscious
Component may hardly be involved in determining circumstances around intimacy. External
environmental stimuli can significantly alter algorithmic codes and complex process
signals beyond the Subconscious Component and physical body. For males, such
stimuli can activate Open-loop cycles in the Subconscious Component, leading to
instant decisions to achieve Closed-loop conditions within the Sexual Instinct
(Figure 2).
2. Role of the Conscious and Subconscious Components:
Subconscious
Component: Governs
automatically fast vibrations on various internal units with instinctual
responses based on the evolutionary preprogramming model. Transmit vibration
frequencies to the brain framework for processing feedback to designated
instinct in an Open-loop cycle of mode.
Conscious
Component: It is a unit that
saves logical data through insightful experience and rational knowledge so that
logical codes can protect and facilitate logical decision-making models by less
dominant males' sexual behavior in certain circumstances. It prevents the
functional mechanism from running unnecessary Open-loop cycle conditions.
Open-Loop vs.
Closed-Loop: Males may encounter
and operate in an Open-loop state when triggered by stimuli in Social Contexts,
seeking a rapid resolution in Closed-loop modes within the Sexual Instinct by navigating
immediate actions in the real world.
3. External Environmental Influences:
Impact on
Algorithmic Stability:
Environmental
factors like pop culture, media, or major societal events modify the default Gender/
Instinct codes. Humans can align the characteristics of the Subconscious Component
with contemporary cultural norms. Alignment may destabilize algorithmic codes' inherent
gender/sexual instincts. Universal competitions explored sexual privacy for competitive
advantages and exposed opponents by involving in demonizing/dehumanizing them.
Complicated and complex social regulations in communities alter and make barriers
to the natural process of sexuality. External forces can modify the
characteristics of an algorithmic model of female sexual attraction. Therefore,
females can possess an Open-Loop vs. Closed-Loop Model similar to males. Many males
have legal issues worldwide through invisible jurisdiction for regulating aspects
of sexual conduct because wicked and complex algorithmic codes undermine global
variables, which are perpetuating in Social Contexts.
Faulty
Algorithmic Codes of global variables: Systems Owners develop codes through business
political references concerning religious models for implementing beyond
algorithmic codes of global variables. The phenomena contained insufficient knowledge
of the functional mechanism of instincts in the Conscious Component. Algorithmic
Codes of global variables can vibrate maladaptive social behaviors that might challenge
adhering to traditional ethical values, especially around family and intimacy.
4. Methodology:
Black Box Testing
Model: This model explores the hidden abstract algorithmic
codes beyond decision-making patterns in the Conscious Component and analyzes preprogrammed
codes that instantiate an instance of the Subconscious Component.
Figures (1 and 2) are graphics that describe the hypothesis of this study
and emphasize algorithmic interactions through the Love and Compassionate Model
and the Open-Loop vs. Closed-Loop Model of the Sexual Instinct and Environmental
Impact.
5. Implications:
Preservation of
Algorithmic Stability: Crucial for
maintaining societal norms, ethical behaviors, human rights, the righteousness
of algorithmic codes beyond global variables, and family values.
Evolutionary
Dynamics: Suggests instincts
beyond the Subconscious Component are not static but can be reshaped by
external forces, for better or worse.
Technological
Analogy: Applying computational and algorithmic
metaphors to human instincts can bridge cognitive psychology, biological
factors, and systems thinking.
Critical Analysis and Future Research Directions:
1-Empirical Basis: How can the algorithmic codes of the Subconscious
Component align with neurobiological and psychological evidence?
2-Cultural
Variation: Are there global
or culturally specific variations in how environmental forces modify units of Conscious/Subconscious
Components?
3-Long-Term
Consequences: The study
emphasizes ethical and social norms; how does it address the potential benefits
of such adaptations in a community on the evolutionary path of life?
Conclusion:
This study sheds
light on the interplay between Subconscious Mechanisms and external influences,
highlighting the critical role of maintaining algorithmic stability of global variables
to uphold ethical and social norms in a community.
Observation:
Wicked global variables evolve through economic perspectives, influencing social contexts, shaping the characteristics of women's gender instincts, and altering their decision-making patterns regarding family values.
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