Closed-loop Controller Unit and Iterative Open-loop Instincts

The Closed-loop Controller Unit is a central regulatory component within the Conscious Component. Its principal function is to provide iterative feedback to Primary Instincts that remain active under Open-loop conditions. Rather than interacting with Primary Instincts only at the level of their immediate behavioral output, the controller continuously evaluates their activity by operating Secondary Instincts. In this framework, Secondary Instincts function as regulatory intermediaries through which Open-loop activity can be detected, assessed, and progressively redirected toward Closed-loop completion.

 

The Closed-loop Controller Unit receives social pattern equations and environmental signals as inputs and evaluates them according to a structured Library Selection Criteria. This library contains parameters, reference values, learned constraints, behavioral expectations, and previously internalized standards that influence how the biological system interprets social and environmental conditions. The quality and organization of these criteria, therefore, directly affect the controller's capacity to distinguish among adaptive, maladaptive, incomplete, and conflicting behavioral responses.

Global variables of the system platform play an important role in this process by modifying the parameters through which social implications are interpreted. Economic structures, cultural expectations, institutional arrangements, technological change, social competition, and prevailing value systems can all influence these variables. Consequently, the Closed-loop Controller Unit does not operate in isolation. It operates in a continuously changing environment where external conditions repeatedly modify the information available to the biological system.

System Owners may influence algorithmic phenomena within this competitive social framework by modifying the global variables that shape institutional and behavioral conditions. Nevertheless, the Closed-loop Controller Unit retains an internal regulatory capacity to examine, compare, validate, reject, modify, or register parameters introduced through the Superego Adjuster. These subparameters may subsequently become part of the Library Selection Criteria and influence later behavioral processing. The performance of Primary Instincts, therefore, depends substantially on the array of values contained within the Library Selection Criteria. When these values are internally consistent, contextually appropriate, and compatible with current environmental conditions, the Closed-loop Controller Unit may facilitate relatively efficient transitions from Open-loop activation toward Closed-loop completion. However, when the criteria contain contradictory, outdated, biased, or poorly calibrated parameters, Primary and Associated Instincts may repeatedly return to Open-loop states, a condition in which the output does not affect the input's control action.

Such repeated activation produces iterative Open-loop Instincts. These occur when instinctual processes are repeatedly initiated but fail to reach satisfactory closure because the criteria used to evaluate possible responses contain unresolved conflicts or biased value arrays. The system may consequently recycle earlier behavioral patterns even when those patterns are no longer optimal for present circumstances. Two major external channels contribute to the development, refinement, and modification of the Criteria Parameters used by the Closed-loop Controller Unit. These channels can facilitate personal development, behavioral adaptation, social learning, and corrective feedback.

1-Superego Adjuster

 

The Superego Adjuster refers to external and internalized paradigms that modify the evaluative standards used by the Closed-loop Controller Unit. These paradigms may include religious beliefs, philosophical principles, cultural norms, ethical systems, psychoanalytic interpretations, ascetic practices, ideological frameworks, materialistic values, conceptions of power, and other systems of meaning.

The Superego Adjuster does not necessarily directly determine behavior. Instead, it modifies the criteria against which instinctual responses are evaluated. Through repeated exposure, reflection, reinforcement, social learning, or conscious acceptance, particular standards may become encoded within the Library Selection Criteria.

Once incorporated, these standards can influence how the system distinguishes acceptable from unacceptable responses, immediate gratification from delayed benefit, individual interest from collective expectations, and adaptive behavior from behavior that threatens social stability. Different individuals may therefore construct substantially different Library Selection Criteria even when they are exposed to similar environmental conditions. The same Primary Instinct may produce different behavioral outputs depending on the evaluative standards established within the controller system.

 

2-Social Contexts

 

Social Contexts refer to the structural and everyday environments in which individuals interact. These include family systems, educational environments, employment structures, economic conditions, legal institutions, communities, digital environments, peer groups, organizational cultures, and broader social infrastructures.

Social Contexts continuously interact with global variables and contribute to the adjustment of behavioral criteria. For effective participation and social survival, individuals frequently adopt social norms, expectations, communication patterns, behavioral conventions,  and algorithms in the Belief System. Some of these adaptations are deliberate, while others gradually become embedded through repeated exposure and reinforcement.

Over time, these social inputs may be encoded within the Closed-loop Controller Unit as data within the Library Selection Criteria. Once internalized, they influence the activation and regulation of Primary Instincts. Primary Instincts are therefore not expressed independently of social information. Their behavioral manifestations are filtered through a complex evaluative architecture comprising biological impulses, learned standards, social constraints, environmental conditions, and accumulated feedback. This architecture creates a multidimensional feedback system. Although such complexity can improve adaptability, it may also create regulatory difficulty. When the Library Selection Criteria contain conflicting values, incompatible social expectations, or parameters inherited from outdated environments, the Closed-loop Controller Unit may struggle to determine which behavioral pathway to prioritize.

As a result, some algorithmic processes may revert to previously established Open-loop cycles. These older patterns may persist because they already possess accessible behavioral pathways within the biological system, even though they may no longer provide an effective solution to current environmental demands.

3-Open-loop Burdens and System Resources

 

System resource elements possessing self-awareness can access and interpret portions of the global-variable data structure and compare them with internally stored social norms, expectations, and unresolved cycles. Awareness becomes particularly important as the number of Open-loop cycles increases. Each unresolved cycle can be understood as an unfinished regulatory demand requiring additional processing, attention, adaptation, or behavioral resolution. When multiple Open-loop processes remain simultaneously active, they may compete for limited system resources. This competition may reduce the system's efficiency in evaluating new environmental information, prioritizing objectives, generating stable responses, and controlling the model's inherent randomness.

 

The resulting Open-loop burden may affect the overall quality of the individual's life course by repeatedly redirecting attention and behavioral resources toward unresolved demands. Individuals with limited social, cognitive, economic, educational, or environmental resources may experience greater difficulty modifying the inputs that sustain these cycles.

Consequently, the ability to recognize Open-loop burdens becomes an important component of self-regulation. Identifying which processes remain unresolved, which criteria maintain them, and which environmental variables continue to reactivate them may allow the Closed-loop Controller Unit to reorganize its internal selection criteria more effectively.

4-System Owners and Hidden Open-loop Costs

 

System Owners may influence the broader platforms within which social algorithms operate. Nevertheless, they may not fully recognize how persistent Open-loop cycles within the Conscious Component affect system performance over extended periods. Large numbers of unresolved cycles may produce hidden costs that are not immediately visible in the system's external structure. These costs may appear as reduced adaptability, behavioral instability, inefficient resource allocation, recurring conflict, impaired decision consistency, or difficulty responding to environmental change. Such consequences can be understood as hidden evolutionary or systemic costs, because the system continues allocating resources to processes that have failed to reach closure while simultaneously attempting to respond to new environmental demands.

Unexpected environmental changes can intensify this problem. Rapid technological transformation, economic instability, migration, changing social norms, institutional restructuring, or new competitive pressures may render portions of the existing Library Selection Criteria invalid.

System resource elements may then have difficulty managing ordinary tasks because previously successful behavioral algorithms no longer adequately correspond to current conditions. Adaptation, therefore, requires more than the accumulation of information. It requires advanced literacy, critical interpretation, contextual awareness, flexible decision-making, and the capacity to revise existing criteria when environmental evidence indicates that they are no longer appropriate. Without this flexibility, Primary Instincts may repeatedly activate the same behavioral pathways, creating self-sustaining or potentially infinite Open-loop sequences that restrict forward progression.

5-Psychoanalytic and Corrective Intervention

 

Within this theoretical framework, psychoanalytic or other reflective therapeutic approaches may serve as corrective interventions by helping individuals identify the criteria associated with persistent Open-loop processes. The objective would not necessarily be to suppress Primary Instincts themselves. Instead, intervention may examine the assumptions, internalized standards, unresolved experiences, conflicting values, and learned behavioral rules through which instinctual signals are interpreted. By identifying criteria that are contradictory, obsolete, overly rigid, or ill-suited to current conditions, the individual may modify the Library Selection Criteria. Corrective intervention may therefore support the Closed-loop Controller Unit by:

1-Identifying persistent Open-loop cycles.
2-Tracing the criteria associated with their repeated activation.
3-Distinguishing current environmental requirements from outdated internal standards.
4- Examining contradictions between the Superego Adjuster and the Social Contexts.
5-Introducing more objective or contextually appropriate evaluative standards.
6-Testing alternative behavioral responses.
7-Incorporating feedback from those responses.
8-progressively facilitating Closed-loop completion.

From this perspective, adaptive development involves the continuous calibration of the Library Selection Criteria rather than the permanent elimination of Open-loop activity. Open-loop processes remain necessary because they allow the system to respond to new stimuli, uncertainties, unmet requirements, and changing environments. The central regulatory challenge is therefore to prevent temporary Open-loop activation from becoming a persistent, self-reinforcing cycle.

                                                                                        

Observation 1:

1. Closed-loop systems may support harmonic balance within the Conscious Component.

 

Closed-loop regulation allows behavioral outputs to be repeatedly compared with internal criteria and environmental feedback. When discrepancies are detected and successfully corrected, unresolved demands may decrease. Within this theoretical model, such regulation contributes to harmonic balance, in which competing instinctual, cognitive, social, and environmental demands are coordinated more effectively. Harmonic balance may therefore support more stable decision-making and more contextually appropriate social behavior.

2. Persistent Open-loop cycles may contribute to psychological distress.

 

When unresolved cycles remain repeatedly active within the Conscious Component, they may generate continuing internal demands without adequate closure. Within the proposed framework, persistent Open-loop activity may be associated with experiences such as anguish, grief, uncertainty, tension, or anxiety. This proposition should be understood as a theoretical mechanism rather than as a claim that Open-loop cycles alone explain clinically recognized psychological disorders. Psychological conditions are generally influenced by multiple biological, psychological, environmental, and social factors.

3. Compatibility between internal data structures and global norms varies across individuals and societies.

 

Global norms and social values are not uniformly distributed across populations. Individuals are exposed to different cultural traditions, socioeconomic conditions, institutional systems, educational experiences, family structures, and historical environments. Consequently, the degree of compatibility between an individual's Library Selection Criteria and prevailing perspectives on global variables may differ substantially among individuals and across societies.

A behavioral response that produces effective Closed-loop completion in one environment may therefore remain unresolved or create conflict in another. This variability emphasizes the contextual nature of the Closed-loop Controller Unit and the importance of continuous recalibration.

4. Competitive environments may activate networks of Competitive and the Hypocritical Instinct.

 

Within highly competitive environments, the proposed Network of Competitive Instincts and the Hypocritical Instinct may play important roles in sequential and adaptive decision-making. The Network of Competitive Instincts can be conceptualized as a collection of instinctual processes associated with comparison, resource acquisition, status, strategic positioning, self-protection, goal achievement, and adaptation to competitive pressures. However, within this model, the Hypocritical Instinct refers to a regulatory mechanism that enables the system to maintain different behavioral presentations, justifications, or strategic responses depending on contextual requirements. These instinctual networks may enable Biological Systems to operate beyond simple responses to fixed and align global variables, dynamically modifying behavioral strategies as social conditions change. Their parameters, nevertheless, may also complicate the analysis of both Biological and Non-Biological Systems. Strategic behavior can create differences between internal motivations, stated intentions, and observable actions, making causal relationships more difficult to identify.

5. The Hypocritical Instinct may function as a justificatory and mobilizing mechanism.

 

Within the proposed framework, the Hypocritical Instinct may serve a broader role than simple concealment or contradiction in protecting Biological Systems from threats posed. It can be conceptualized as a mechanism through which the system constructs explanations, rationalizations, or socially acceptable representations that permit other instincts to operate within restrictive environments. In this sense, the Hypocritical Instinct may mobilize other instinctual systems by providing interpretive or justificatory pathways that reduce conflicts between internal demands and external expectations.

For example, an instinct associated with competition, resource acquisition, social status, or self-preservation may conflict with ethical norms or collective expectations set out in the Library Selection Criteria. A justificatory mechanism may enable the system to reinterpret the behavior so that the desired action becomes compatible with existing criteria.

This mechanism may contribute to the adaptability and advancement of Biological Systems by enabling behavioral flexibility under complex social constraints. At the level of Non-Biological Systems, comparable mechanisms may appear in institutional narratives, organizational justifications, political or economic rationalizations, and algorithmic structures designed to reconcile competing objectives. The same mechanism may, however, generate new Open-loop cycles when the justification used to authorize an action conflicts with other internalized standards. The Hypocritical Instinct may therefore function simultaneously as an adaptive mechanism and as a potential source of additional regulatory complexity.
 

Overall, the Closed-loop Controller Unit can be understood as a continuously adaptive regulatory architecture positioned between instinctual activation and behavioral completion. Its effectiveness depends not only on the Primary and Secondary Instincts themselves, but also on the quality of the Library Selection Criteria through which environmental, social, ethical, cultural, and personal information is evaluated.

The central problem is therefore not the existence of Open-loop cycles. In other words, Open-loop activation is necessary whenever a system encounters an unresolved demand. The critical issue is whether the system has sufficient feedback, resources, and appropriately calibrated criteria to convert those cycles into Closed-loop states before unresolved processes accumulate into persistent, self-reinforcing patterns.

Self-Perpetuating Social Behavior Disorder

Subconscious Component remains trapped in previously established Open-loop cycles without sufficient corrective feedback. Within this framework, the Closed-loop controller system operating through the Instinct Component, particularly the Secondary Instinct, functions as a regulatory mechanism that detects unresolved Open-loop activity, identifies potential biases or obstacles, and coordinates responses designed to restore stability. By continuously monitoring subconscious processes and converting sensory inputs into behavioral outputs, the Closed-loop controller may reduce unresolved Open-loop cycles and help restore harmonic balance. (Fig.1)

 

Primary instincts, which represent fundamental drivers of behavior, may remain in an Open-loop mode when the physical body or the surrounding environment fails to provide the conditions required for satisfactory Closed-loop feedback. In such circumstances, an instinctive process may repeatedly attempt to reach closure without successfully resolving the underlying stimulus or demand. Over time, repeated activation of the same primary instinct can become embedded as a habitual and self-reinforcing pattern within the Subconscious Component. These persistent patterns may subsequently influence decision-making patterns and social behavior in ways that become increasingly rigid, repetitive, or maladaptive. The Closed-loop controller unit, represented by the Secondary Instinct, manages these processes through several interconnected stages, each broken down into multiple dependent steps in which the output of one phase feeds directly into the next.

1-Identification:

The Closed-loop controller unit detects unresolved obstacles, biases, or inconsistencies within ongoing Open-loop processes. This stage involves recognizing that the expected feedback required to complete an instinctive cycle has not yet been achieved. At this stage, the individual is still in the learning phase and needs more practice to find the connection between the Conscious Component and the Brain framework.

 

2-Activation:

Algorithmic process codes activate the relevant Secondary Instinct mechanisms, which subsequently stimulate the Primary Instincts associated with the identified Open-loop obstacle. The purpose of this activation is to elicit behavioral or cognitive responses that address the unresolved condition.

3-Processing:

The activated Primary Instincts perform one or more Open-loop cycles to resolve the obstacle. These cycles may elicit different behavioral responses depending on environmental conditions, prior experiences, and the Subconscious Component's existing algorithmic parameters.

4-Feedback Integration:

The actions generated by Primary Instincts produce feedback that is received and evaluated by the Closed-loop controller unit. This information is transmitted via the Secondary Instinct mechanisms, enabling the system to assess whether the initial obstacle has been resolved and to identify potentially biased or ineffective parameters in the process.

5-Optimization and Error-Checking:

The Secondary Instinct unit evaluates the effectiveness of the Primary Instinct response. If the generated output fails to achieve satisfactory closure, the system may modify, repeat, or redirect the process. This error-checking mechanism is intended to optimize behavioral output and improve the probability of resolving the original Open-loop condition. However, when the obstacle cannot be adequately resolved, repeated attempts may result in prolonged Open-loop activity culminating in a deadlock within the starvation domain of the Subconscious Component.

When such Open-loop cycles persist in a deadlock mode over extended periods, they may gradually form self-reinforcing behavioral loops. Repeated activation strengthens the probability that the same Primary Instinct will be triggered under similar conditions, even when the original circumstances have changed. In this way, instinctive responses may become increasingly habitual and may manifest as persistent behavioral patterns, heightened anxiety, avoidance, compulsive responses, or other forms of maladaptive social behavior.

A self-perpetuating cycle, therefore, emerges when unresolved Primary Instinct activity repeatedly generates feedback that reactivates the same or related subconscious processes. Instead of producing a final closure, the feedback becomes part of the stimulus for another Open-loop cycle. The system's behavioral output may consequently reinforce the internal conditions that maintain the original pattern.

Conversely, when Secondary Instinct mechanisms successfully deactivate unnecessary or ineffective Primary Instinct processes, the frequency and intensity of these patterns may gradually decline. Reduced activation may allow previously dominant instinctive responses to become less influential, particularly when environmental conditions no longer reinforce them. The response undergoes extinction, causing the behavior to weaken and eventually stop gradually. (Fig.1)

Psychological therapy may function as an external regulatory influence within this framework. Therapeutic intervention can introduce new information, alternative interpretations, behavioral strategies, and structured feedback into the decision-making process. These external inputs may influence conscious awareness while also modifying the conditions under which subconscious behavioral patterns are repeatedly activated. Over time, such interventions may help weaken established self-perpetuating cycles and promote more adaptive Closed-loop responses.

 

                                                                                   

Observation 1:

The Black Box Testing method may provide a useful conceptual approach for examining behavioral outputs without requiring direct access to every internal mechanism of the Subconscious Component. By systematically modifying external inputs and observing the corresponding behavioral outputs, researchers may infer hidden algorithmic parameters, regulatory relationships, and feedback structures that operate beyond the observable backbone of the Conceptual subconscious mechanisms. Such an approach could potentially support the identification of patterns associated with persistent Open-loop cycle activity and improve the theoretical understanding of how self-reinforcing behavioral cycles are maintained in the physical domain.

The Number of Open-loop Cycles Determines Optimal Decision-Making

Complex environmental parameters can destabilize algorithmic codes beyond the influence of established global variables by generating multiple Open-loop cycles simultaneously. When these cycles remain unresolved, previously stabilized processes may revert to an Open-loop mode, producing temporary deadlocks within the starvation domain of the Subconscious Component. Such deadlocks can interfere with the system's ability to process incoming environmental information efficiently and may reduce the consistency of subsequent decision-making.

The number and persistence of Open-loop cycles are often shaped by socioeconomic conditions, institutional structures, environmental pressures, and other external forces that influence the broader social context. System Owners may therefore attempt to shape, regulate, and refine the structure of global variables in accordance with policies designed to respond to the demands of the global economy and changing environmental conditions. The effectiveness of these global variables depends on their ability to absorb external disturbances without allowing excessive numbers of unresolved Open-loop cycles to accumulate within the system.

In Biological Systems, Closed-loop control mechanisms within the Subconscious Component can process instinctual needs and respond to requirements arising from the social environment. When these mechanisms operate effectively, instinctual signals progress from stimulus and internal processing toward an appropriate behavioral response, allowing Open-loop cycles to reach a Closed-loop state. This process contributes to structural and behavioral stability while reducing the accumulation of unresolved instinctual demands.

Such stability may allow the Subconscious Component to maintain a harmonic balance within this framework. This balance is represented by coordinated vibrational frequencies and consistent information exchanges among the system's internal components. When Open-loop cycles remain within manageable limits, the system can allocate its cognitive and behavioral resources more efficiently, thereby supporting more coherent decision-making and adaptive social behavior.

Conversely, when numerous Open-loop cycles remain active simultaneously, the Subconscious Component may become increasingly occupied by unresolved signals. Competing instinctual demands can then interfere with one another, weaken the stability of decision-making patterns, and increase the probability of inconsistent behavioral responses. From this perspective, the number of unresolved Open-loop cycles becomes an important indicator of the system's ability to maintain optimal functioning, an integrated approach focusing on foundational lifestyle.

A comparable principle can be applied to Non-Biological Systems. When harmonic balance is structurally embedded within global variables, these variables can provide stable reference conditions for algorithms and operational procedures. Stable global variables can reduce unnecessary fluctuations in decision-making, improve coordination among system resource elements, and promote predictable responses to environmental changes.

In this sense, optimal global variables do not merely regulate isolated decisions. They provide a common operational framework through which different components of the system can respond consistently to comparable conditions. Such consistency can contribute to the restoration and maintenance of a stable social infrastructure, particularly when system-level decisions interact with large numbers of Biological Systems.

However, maintaining this stability remains difficult. Observationally, invisible or poorly controlled variables may continue to circulate within Non-Biological Systems and the wider social infrastructure. These variables can interact with the competitive instincts of Biological Systems at the subconscious level, generating new disturbances and potentially reopening previously stabilized cycles. Because competitive instincts can influence individual and collective behavior independently of conscious reasoning, they may continuously introduce variation into otherwise regulated environments.

Accordingly, optimal decision-making depends not simply on eliminating Open-loop cycles, since some Open-loop processes are necessary for adaptation and response to new conditions. Rather, system stability depends on preventing excessive accumulation, prolonged persistence, and uncontrolled interaction among Open-loop cycles. A system capable of converting these cycles into appropriate Closed-loop responses while preserving harmonic balance is more likely to demonstrate consistent and adaptive decision-making.

Observations 1:

1-Optimal global variables reinforce constructive social norms.

When global variables are appropriately structured, they can support positive social contexts and create reinforcing feedback loops through cooperative, adaptive, and socially supportive instinctual responses.

2-Optimal global variables improve the effectiveness of system resource elements.

Clear and stable global variables reduce operational ambiguity, enabling individual components and resource elements to perform their assigned functions more efficiently and consistently.

3-Consistency in decision-making reflects harmonic balance.

Stable decision-making patterns and coherent social behaviors may indicate a greater degree of harmonic balance among the Conscious/ Subconscious Components and the surrounding environmental context. Persistent inconsistency, by contrast, may indicate unresolved Open-loop cycles or disturbances within this balance.

4-Harmonic balance in Non-Biological Systems appears as operational consistency.

In Non-Biological Systems, harmonic balance can be observed through stable procedures, predictable algorithmic responses, and coherent operational patterns. Suboptimal systems are more likely to exhibit irregular procedures, contradictory outputs, and greater variability in comparable decision-making conditions.

5- The accumulation of Open-loop cycles can progressively reduce decision quality.

As unresolved cycles increase, system resources may be distributed across multiple competing demands, limiting the capacity to process information efficiently and maintain stable decision-making. This competition can interfere with the integration of relevant contextual signals, increasing the likelihood of inconsistent or delayed responses. As a result, the system may become less capable of selecting actions that are coherent, adaptive, and appropriate to the current environmental conditions and surrounding ecosystems.

6- Optimal functioning requires the controlled closure of Open-loop cycles rather than elimination. 

Open-loop cycles are essential because they allow the system to detect new stimuli, respond to changing environmental conditions, and initiate adaptive processes. Effective functioning, therefore, depends on the system's ability to promptly evaluate, process, and close these cycles. When unresolved demands remain within the system's regulatory capacity, they can support flexibility and adaptation. However, when too many Open-loop cycles remain active simultaneously, they may compete for limited processing resources and disrupt system stability. Optimal performance is therefore achieved through a dynamic balance in which new cycles can emerge while existing cycles are progressively resolved and integrated.

 

7- In Non-Biological Systems, harmonic balance is reflected in consistent operations

 
External social forces continuously influence system stability by introducing new variables, constraints, and demands. Economic conditions, social competition, institutional structures, cultural expectations, and environmental pressures can affect both Biological and Non-Biological Systems, altering the conditions under which decisions and responses are generated. These influences may create new Open-loop cycles or modify existing ones, requiring the system to reassess and adjust its internal processes continuously. Harmonic balance should therefore be understood as a dynamic and adaptive condition rather than a permanently fixed state. System stability depends on the capacity to absorb external changes, reorganize available resources, and restore functional balance as environmental and social conditions evolve.