A Surrogate-Based Model of Instincts

The Surrogate-Based Model of Instincts is a conceptual data framework that outlines an instinctual network to regulate distinct behavioral attitudes in response to environmental contexts. Algorithmic network codes manage the recurring cycle of starvation-related responses to the physical world, particularly within the domain of the Old open-loop cycle of instincts (deadlock instincts).

When a deprivation or threat arises, the Survival Instinct is activated to engage the most appropriate surrounding instincts. These instincts act as compensatory mechanisms to prevent adverse disruptions within the Decision-Making Map. In socially dynamic environments, external stimuli may trigger an open-loop instinctual cycle. During such moments, the Subconscious Component challenges the brain to restore equilibrium through the physical parts of the body by inducing distinct tasks within environments to closed-loop conditions in the Subconscious Component.

The full spectrum of functional instincts is essential for completing assignments in social contexts. However, task failure during processing can cause the brain to emit feedback signals, encoded as vibrational data, back to the Survival Instinct, mainly when engaged within the constraints of the old open-loop framework. In such scenarios, the Survival Instinct recruits antagonistic instincts to re-establish closed-loop conditions within the broader Instinct Component.

This surrogate-based network functions as a unified system of instincts that collaboratively establish and maintain a closed-loop operational mode. Beyond this network, higher-order algorithmic codes resonate through data frequencies, integrating with Conscious and Subconscious Components.

The Belief System, operating within the instance frameworks of the Superego and Ego, adapts and modifies these characteristic instinctual codes. The belief structure then implements the refined algorithmic codes into the Decision-Making Map, ensuring alignment with evolved behavioral and cognitive patterns. (Fig. 1)

                                                                  

                                                                               

 

 

Algorithmic Foundations of the Decision-Making Map

The algorithmic foundations of the Decision-Making Map encompass a broad spectrum of instinctual networks, ranging from aggressive to conservative tendencies. These variations are influenced by the dynamic properties embedded within the Conscious Component. Within this framework, the Decision-Making Map integrates subclasses derived from the Surrogate-Based Instinct Network Model, organized into distinct, often obscure, behavioral archetypes. (Fig. 2)

 

Aggressive Instinctual Networks

These networks operate on assertive or forceful tendencies, often aiming to dominate, control, or disrupt environmental or social dynamics to secure advantage. Their subdivisions include:

 

1. Predatory Network of Instincts

Characterized by proactive, assertive behaviors aimed at achieving objectives, the Predatory Instinct operates through dominance and strategic control. It leverages preprogrammed algorithmic codes to enforce Closed-loop conditions.

 

2. Competitive Network of Instincts

Fueled by the drive to surpass others, this network emphasizes rivalry and the quest for superiority. It identifies barriers to progress and strategically eliminates them to maintain competitive positioning.

 

3. Exploitative Network of Instincts

Marked by opportunism, the Exploitative Instinct seeks personal gain through manipulation or advantage-taking, often employing aggressive tactics to maximize outcomes.

 

4. Destructive Network of Instincts

This malfunctioning network reflects a breakdown in instinctual coherence. Having lost its central operational role and default algorithmic codes, it stalls evolutionary advancement and disrupts functional decision-making cycles.

 

Conservative Instinctual Networks

These networks are oriented toward preservation, stability, and maintaining internal and external balance. Their subdivisions include: (Fig. 2)

 

1. Defensive Network of Instincts

Primarily reactive, the Defensive Instinct activates in response to perceived threats. It often initiates decisive, preemptive actions to protect the self or group from harm.

 

2. Territorial Network of Instincts

Focused on protecting and maintaining one’s space or resources, this network reinforces boundaries through defensive or confrontational behaviors.

 

3. Harmonious Network of Instincts

This network strives for internal equilibrium by promoting vibrational coherence between the Subconscious Component and the overall submodules of the Conscious Component and the brain framework. It fosters emotional and cognitive alignment to sustain harmonic balance in decision-making.

 

 

                                                                                      

 

Subclasses of the Surrogate-Based Instinct Network Model

Subclasses within a Surrogate-Based Instinct Network Model generate distinct operational patterns and vibrational frequency codes in response to stimuli arising from complex social environments. By examining the ratio of positively and negatively aligned instinctual networks across various social contexts, one can derive meaningful insights that guide environmental health, social balance, and evolutionary progression.

 

Observation:

These surrogate-based instinct network model subclasses represent specific, activated instinctual patterns embedded within the Subconscious Component. The algorithmic codes that extend beyond these subclasses are instantiated and reflected based on determinative factors, namely, the intrinsic properties of the Instinct Component and the structure of the surrounding environment.

Each subclass evolves in direct relation to the characteristics and dynamics of emerging social phenomena. The underlying modules responsible for cultivating default preprogrammed codes function as selection mechanisms. They identify, filter, and recruit appropriate instincts from the broader Instinct Component to integrate into the surrogate-based instinctual network. This adaptive process enables the instinctual framework to align with evolving social contexts while ensuring the continuity of homeostatic and evolutionary functions within the Decision-Making Map.