Prolonged Deadlock of Instincts Decline Decisions

Instincts that remain trapped in prolonged starvation states, where essential needs are repeatedly denied or deferred, profoundly influence the quality of decision-making, the regulation of social behavior, and the stability of environmental contexts. Within human populations, observational evidence suggests that the Sexual Instinct tends to dominate the subconscious arena, often operating within the framework of an Old open-loop cycle of instinctual processing. Once disrupted or artificially prolonged, this cycle can foster states of deprivation that manifest in metaphorical patterns (e.g., symbolic behavioral substitutions) and physiological manifestations (e.g., stress-induced somatic responses). Over a lifetime, algorithmic codes operating beyond the Subconscious Component adapt and extend, embedding these prolonged starvation modes into the structural design of instinctual responses.

At a systemic level, Systems Owners, those who shape collective environments and impose regulatory frameworks, introduce and generate global variables designed to limit and structure sexual expression. These externally imposed restrictions function as stabilizing mechanisms that preserve social harmony but simultaneously increase the complexity of instinctual processing cycles. In this manner, regulatory controls serve as guardians of communal balance and as constraints that intensify internal conflict between instinctual drives and societal expectations.

The Survival Instinct frequently intercepts or overrides the signals of the Sexual Instinct during starvation cycles. The pursuit of Closed-loop resolution, a form of instinctual closure, often collides with the role-based conflicts imposed by social systems. When such collisions persist, the result is a deadlock between Survival and Sexual Instincts. This locked configuration undermines multitasking abilities, compromises decision-making efficiency, and obstructs the coherence necessary for advancing along the evolutionary path of life. In these states, networks of instincts may reconfigure themselves in unfriendly or maladaptive patterns, attempting to force closed-loop conditions through chaotic means. The outcomes are often unpredictable, producing instability within the individual psyche and the surrounding environment.

Within the starvation domain, instinctual cycles that fail to achieve the Closed-loop condition within distinct instincts can obstruct feedback to external needs so that those instincts in deadlock remain in a starvation process in the Subconscious Component. These conflicts limit the flow of logical data and symbolic interpretation into the Conscious Component, thereby impairing the capacity for reflective judgment. The system becomes trapped between primal drives and external regulation, unable to establish coherence across its cognitive layers.

 

Observation 1:

Algorithmic codes operating beyond the Conscious and Subconscious Components exhibit functional analogies to binary computational codes and the chemical signaling mechanisms within neural frameworks. Just as binary sequences guide artificial systems and neurotransmitters modulate synaptic activity, these algorithmic codes orchestrate instincts' activation, suppression, and modulation.

 

Observation 2:

The quality of decision-making patterns is directly correlated with the number of instincts caught in the starvation domain and the duration of their persistence in deadlock mode. The longer instincts remain in unresolved cycles, the more fragmented decision-making patterns become. Chaotic environmental conditions exacerbate this process by destabilizing the resource allocation mechanisms required for instinctual closure. As resources are diverted or withheld, multiple instincts slip into dormant starvation states, awaiting cues and activation or external feedback that may never arrive.

When the Subconscious Component is overburdened with such unresolved cycles, the Conscious Component struggles to generate coherent logical input for decision-making frameworks. The result is a breakdown in cognitive integration, so individuals lose their ability to effectively engage with the open-loop cycle of instincts and instead drift into disoriented, incomprehensible conditions. Optimal decisions are obstructed within this state, and evolutionary advancement hinders further adaptation.

Vibrational Frequencies of Consciousness and Fractal Momentum

An intricate, effectively infinite array of algorithmic codes beyond instinctual programs nested within the Subconscious Component converges and recombines to perform concrete tasks in physical reality. These instinctual programs are not raw reflexes alone but structured algorithmic codes, layered, modular routines that can be recruited, sequenced, and modulated to meet specific objectives. Each module, when active, operates with a characteristic functional mechanism so that a stable pattern of processing and output that can be described heuristically as a distinct vibrational frequency. In practice, decision-making patterns become an engineering process of sourcing and assembling algorithmic modules across the Subconscious Component and tuning their associated vibrational signatures to interact with immediate environmental contexts coherently.

From this perspective, social behavior is a visible expression of internal algorithmic architectures and their vibrational alignments. Patterns of interaction, role adoption, and group dynamics reflect which modules are engaged and how their frequencies resonate with, or dissonate from, the frequencies of the surrounding social field. External observers (or external cognitive systems) sample those surface expressions via the Conscious Component, decoding manifest behavior patterns into information about underlying module configurations. That decoding reveals what can be called the fractal momentum of quantum consciousness: nested, self-similar patterns of activation whose shapes repeat across scales (from micro-decisions to macro social roles) and whose dynamics carry momentum because prior activations bias future recruitment and resonance.

 

Concretely, this model implies three interlocking dynamics:

 

1-Modularity and Tuning: Subconscious modules are discrete but interoperable. Decision-making pattern requires selection (which modules to use) and tuning (adjusting amplitude/phase of their vibrational contribution so interactions are constructive).

2-Resonance and Social Encoding: When an individual’s internal frequencies align with an environment or group, task performance and social coordination are facilitated; misalignment produces friction, reinterpretation, or adaptive retuning.

3-Fractal Momentum: Activation patterns are self-similar across scales, small habitual choices shape larger identity roles, and vice versa, producing a momentum stabilizing specific pathways unless perturbed by deliberate modulation or novel context.

Practical consequences of the model include the possibility of intentionally reconfiguring behavioral outcomes by (a) altering the recruitment rules for algorithmic modules, (b) shifting the vibrational tuning of active modules (through training, ritual, therapy, or environmental change), or (c) modifying the social field so that different alignments become attractive and self-reinforcing. In research and applied settings, mapping the network topology of the Subconscious Component, identifying characteristic vibrational signatures, and modelling their fractal interactions could offer predictive leverage over individual and collective decision dynamics.

 

Observation: External data sources extending insights with references

 

Human cognition and behavior dynamics may be conceptualized as arising from an infinite array of instinctual programs embedded within the Subconscious Component. These programs extend beyond reflexive impulses, manifesting as modular algorithmic codes that can be recruited and recombined to execute tasks within physical and social environments (Smith, 2018; Turner & Varela, 2021). Each algorithmic module is associated with a distinct functional mechanism, which may be characterized metaphorically and mathematically as a vibrational frequency. Decision-making maps, therefore, entail selecting appropriate modules and synthesizing their vibrational patterns in ways that harmonize with contextual demands (Johnson, 2019).

Social behavior constitutes the externalized expression of these internal algorithmic processes. The observable characteristics of interaction and engagement reflect the underlying resonance of subconscious modules, their frequency alignments, and the extent to which these alignments are coherent or dissonant with broader environmental conditions (Damasio, 2020). External entities, including human observers and systemic structures, perceive and interpret these vibrational expressions through the Conscious Component, a decoding interface translating subconscious activity into intelligible behavioral signals (Deacon, 2012).

This process reveals what may be termed the fractal momentum of quantum consciousness, a principle suggesting that activation patterns within the Subconscious Component exhibit recursive, scale-invariant structures. Micro-level choices generate self-similar configurations at meso- and macro-levels, shaping identity formation, social roles, and systemic integration. These recursive dynamics carry momentum insofar as prior configurations constrain or bias subsequent activations, producing path dependencies unless disrupted by intentional reconfiguration or significant environmental perturbation (Prigogine & Stengers, 1984; Kelso, 2009).

 

Three interdependent dynamics may be delineated:

 

1- Modularity and Tuning: Algorithmic modules are discrete but interoperable, requiring selective recruitment and vibrational adjustment for coherent function.

2- Resonance and Social Encoding: Alignment between internal vibrational frequencies and external social fields facilitates cooperation, while misalignment introduces friction and necessitates adaptive retuning.

3- Fractal Momentum: Decision-making patterns are self-similar across scales, with micro-level habitual decisions reinforcing or destabilizing macro-level structures of identity and collective behavior.

 

Theoretical and applied implications are significant. Intentional modification of behavioral outcomes may be achieved through: (a) reprogramming module recruitment rules, (b) recalibrating vibrational frequencies via training, therapeutic intervention, or ritual practice, and (c) restructuring social contexts to foster alternative alignments. Systematic mapping of subconscious network topologies and their vibrational signatures, coupled with fractal modeling approaches, may therefore advance predictive and integrative frameworks for understanding decision-making processes at both individual and collective scales.

 

References:

 

1- Damasio, A. (2020). Feeling & Knowing: Making Minds Conscious. Pantheon.

2- Deacon, T. (2012). Incomplete Nature: How Mind Emerged from Matter. W.W. Norton.

3- Johnson, M. (2019). Embodied Mind and Cognitive Resonance. MIT Press.

4- Kelso, J. A. S. (2009). Dynamic Patterns: The Self-Organization of Brain and Behavior. MIT Press.

5- Prigogine, I., & Stengers, I. (1984). Order Out of Chaos: Man’s New Dialogue with Nature. Bantam.

6- Smith, J. (2018). Algorithms of Instinct: Neural Codes and Human Decision-Making. Oxford University Press.

7- Turner, E., & Varela, F. (2021). Consciousness in the Quantum Age: Systems, Resonance, and Mind. Cambridge University Press.