Free Will Mechanisms and Destiny Forces

This interdisciplinary research presents a comprehensive model outlining the default properties of Free Will and a theoretical framework for Human Destiny. The study focuses on identifying functional mechanisms and comparisons beyond Free Will and the deterministic role of Destiny in human life. By examining instance parameters of Free Will and the perception of Human Destiny, broad algorithmic structures can be instantiated within the Decision-Making Map.

The research employs the Black Box Testing Method to experimentally identify a guideline model that exhibits the default properties of Free Will and the notion of Human Destiny. This testing examines and identifies key characteristics and distinctions of Free Will and Destiny through Conscious and Subconscious Components and External Entities beyond Social Contexts.

Free Will is the capacity to select the best possible decision for a course of action without interference from External Entities. The absence of Open-loop Instincts, optimized Genetic Instincts, a strong Cooperative Instinct, homogeneous Social Contexts, and a Harmonious Balance within Iceberg Cells. It ensures the involvement of the Conscious Component in decision-making. This process operates under closed-instinct conditions and is correlated with a logical data mechanism.

Rational parameters within the Conscious Component ensure freedom of action and protect decision-making capacity. Logical parameters analyze and monitor constraints to safeguard decisions and Open-loop Instinct Cycles. These rational parameters can execute array data structures that determine optimal solutions within the Decision-Making Map.

Instance parameters of decision-making within Social Contexts can instantiate an array of codes that relate to Free Will decisions without the influence of External Entities along the evolutionary path of life. However, when multiple old Open-loop Instincts, weak Genetic Instincts, a heightened Survival Instinct, a persuasive Competitive Instinct, an Emaciated Superego, a stable Ego Framework, and heterogeneous Social Contexts dominate, the algorithmic codes beyond the Subconscious Component take precedence in the decision-making process to achieve Closed-loop conditions. The Conscious Component may struggle to resolve complex situations, but it leads to automatic processing through subconscious auto-pilot mechanisms for fulfilling requirements using closed-loop modes.

Multiple Module Functions within the Subconscious Component can diminish Free Will capacity. These functions respond and align to various Open-loop Instinct requirements, generate positive feedback to Ego Mechanisms, and sustain harmonic balance among Instincts for Closed-loop conditions. However, the Subconscious Component processes Closed-loop Modes without logical data control, leading to irrational decision-making. Consequently, irrational parameters within functional mechanisms can execute data structures that fail to produce optimal solutions in the Decision-Making Map. As a result, Subconscious-driven decisions often yield suboptimal outcomes, creating incompatible choices that respond to irrational Open-loop Instincts. Ultimately, instance parameters of decision-making within Social Contexts shape an array of human destinies along life’s evolutionary trajectory, potentially leading to infinite loops, unpredictable outcomes, and inconsistent events.

 

The Conscious Component as the Creator of Free Will

 

When exploring the Conscious Component, the Decision-Making Map fosters harmony within Social Contexts and aligns with the Target-based Model of Social Environments. This alignment transforms Unpredictable Entities into Predictable Entities within internal/ external domains. The complete collection of Predictable Entities within Social Contexts enables goal-oriented processing, capturing, and achieving an Ultimate Goal. Free will thus manifests as an objective and independent decision-making process free from external influences and generates predictable outcomes along life’s evolutionary path. The logical data within the Conscious Component facilitates the detection of predictable outputs, leading to the realization of the Ultimate Goal. (Fig 1)

 

                                                                                  

                            

The Subconscious Component and Human Destiny

 

The Subconscious Component can generate a predetermined course of events, shaping Human Destiny. The Decision-Making Map through the Subconscious Component can instantiate and establish the ultimate goal when the old Open-loop cycle of Instincts, the confused Survival Instinct, the Network of Competitive Instinct, and the impetuous Ego Framework within the Subconscious Component target specific unpredictable requirements to create unaccountability for temporary Closed-loop instinct conditions. The instance of the Decision Map contains a code of Ego enforcement and offensive Competitive Instincts.

The Target-based Model within Social Contexts often struggles to meet instance parameter requirements due to compatibility issues with its default characteristics. However, parameter requirements can attempt to capture unpredictable social entities to provide alignment options and respond to Open-loop Instances. Compatibility issues and entangled adjustments with social entities may even instantiate and signify uncertain phenomena, chaotic situations, and unpredictable circumstances. The side effects of uncertainty and tragedy within social contexts include infinite loops, unpredictable behavioral patterns, and complex resource allocation models along the evolutionary path of life.

An infinite loop on the Evolutionary Path of Life can manifest Human Destiny, as the brain framework detects unpredictable and inevitable outputs, inconsistent events, and infinite loops (Fig 2)

                                                                                

 

Embedding the Best Possible Course of Action in the Decision Map

 

Achieving the best possible course of action needs to be embedded in goal-setting and logical data (predictable inputs) through the Conscious Component. Goal setting ensures that social contexts respond to objective parameters and generate predictable outputs along the evolutionary path of life.

Creating logical data within social environments challenges individuals to engage in logical behaviors. The logical codes embedded within the Decision-Making Map are measurable, attainable, and aligned with the properties of the Target-based Model in social contexts. Rational parameters within the Conscious Component prioritize essential goals for individuals on the evolutionary path of life while disregarding the requirements of the Closed-loop cycle of instinct conditions and the Harmony Balance within the Ego Framework. (Fig 3)

 

 

                                                                                 

                                                                                

 

Destiny Empowerment in Subconsciousness

 

The Subconscious Component can perpetuate and facilitate the Destiny Empowerment mode. The Decision-Making Map encapsulates specific demand parameters that satisfy resource needs within the Subconsciousness. For instance, it aggregates demand parameters for open-loop instinct modes to respond to the requirements of the Ego framework, often generating unpredictable inputs within social contexts. As a result, humans may struggle to establish objective goals through the logical data of the Conscious Component later on in the evolutionary path of life, as internal algorithmic data often lack compatibility with the inherent properties of the Target-based Model in social contexts. (Fig 4)

                                                                                  

 

 

Irrational Goals and Complex Outputs

 

An irrational goal within the Conscious Component can generate complex algorithmic codes within the decision-making map, so designated codes are not executable. The Subconscious Component encounters difficulties aligning with the characteristics of a Target-based Model in social contexts due to compatibility constraints. Preprogrammed algorithmic codes beyond the Subconscious Component may fail to predict or synchronize with algorithmic structures in social environments. As a result, a random process emerges, fostering uncertainty and chaos within environmental modules. The side effects of these unpredictable events and chaotic conditions include infinite loops and erratic behavioral patterns along the Evolutionary Path of Life. Decision-makers may experience a sense of a predetermined course of events, reinforcing the perception of a destiny-driven journey. (Fig 5)

                                                                         

                                                                   

Unpredictable Events in Decision-Making

 

Unpredictable events can be processed despite the presence of a rational algorithm within the Decision-Making Map. Supernatural entities can modify the structure of social characteristics, influencing human fate through subsistence lifestyle courses. These modification forces can transform predictable social entities into unpredictable ones within social contexts. The force of adoption can alter goal-setting processes, leading to unpredictable events. Ultimately, these unpredictable events within social domains generate infinite outputs. The side effects of infinite outputs include dilemmas, inconsistent events, and increased complexity in social contexts. Even minor dilemmas can cause decision-makers to experience a sense of destiny along the evolutionary path of life. (Fig 6)

 

                                                                                                                                      

                                          

 

Analogical Inferences Between the Conscious Component and Predictable Social Domains

 

Analogical reasoning facilitates the identification of explanatory structures by mapping attributes from a known system (the source) to a new and unknown system (the target). In this study, the known system comprises predictable social entities within a Social Context (the source), while the unknown system is the Conscious Component (the target). (Fig 7)

Analysts can recognize analogies between two systems by comparing their internal attributes. In other words, logical parameters within the Conscious Component can generate meaningful analogies between Consciousness and Social Contexts. Establishing a substantial similarity between these domains enables the identification of explanatory structures from the source to the target. Realistic decision-making involves understanding and evaluating trade-offs between the Conscious Component and social contexts. A high degree of similarity between the two implies an optimal decision-making model.

Observational studies suggest that distinct modules within the Conscious Component can be aligned to generate stability akin to the algorithmic properties of predictable social entities. System analysts can identify the characteristic mechanisms of the Conscious Component by examining specific decision-making patterns. These conscious mechanisms instantiate semantic and structural attributes similar to those of predictable social entities. Algorithmic properties evolve through decision-making processes within the Decision-Making Map.

Successful analogical inferences between properties in the Decision-Making Map and those in predictable social entities can foster goal achievement, predictability, consistency, and optimal resolution within social contexts. Consequently, decision-makers may experience a heightened sense of Free Will along the evolutionary path of life. 

Instance-conscious attributes (target) within social contexts seek integration with instance attributes of predictable social entities (source). A robust interaction between the target and source can facilitate an exceptional state of integration. This unique synthesis fosters desirable inferences and predictive outputs, enabling optimized decision-making processes. (Fig 7)

  

                                                                   

 

The Subconscious Component and the Unpredictable Outputs

 

Instance subconscious attributes within social contexts (target domain) seek integration with instance attributes of unpredictable social entities (source domain or subconscious modules). However, due to their complex characteristics, a suboptimal dialogue between these domains results in an insignificant integration state because the target domain operates within closed-loop conditions driven by the Survival Instinct.

The necessity for closed-loop modes within specific instincts can impede the engagement of conscious mechanisms in the Decision-Making Map. As a result, the accuracy of analogical inference between the Conscious Component and social contexts diminishes. The disparity between the characteristic attributes of consciousness and social context contributes to environmental complexity. Consequently, this phenomenon can instantiate and establish subjective inferences, leading to unpredictable outputs along the evolutionary path of life, ultimately shaping human destiny. (Fig 8)

 

                                                         

                                                                             

 

Observation:

The characteristics of genetic instincts can reshape and influence decision-making patterns and algorithmic mechanisms, extending beyond human biology.

 

Observation:

A key distinction between the Subconscious and Conscious Components lies in the allocation of control mechanisms within the Conscious Component. For instance, an open-loop cycle within a single instance can remain in starvation mode, obstructing the transition to a closed-loop instance.

Mechanisms beyond the Subconscious Component typically invoke and instantiate a closed-loop instinct mode, as the Ego Framework prioritizes providing positive feedback to instinctual requirements. Instinct source codes and multiple module functions execute a closed-loop instinct cycle when positive feedback from the Ego aligns with instinctual demands.

In contrast, the Conscious Component employs a defensive programming mechanism against instinctual open-loop cycles, as its source codes prevent positive feedback to instinctual requirements within such cycles. The superego mechanisms and logical data of consciousness can monitor and regulate algorithmic codes within instinctual requirements.

Optimal requirements enable the execution of conditions for a closed-loop instinct cycle, whereas irrelevant requirements within instances obstruct closed-loop modes. Negative feedback from the Conscious Component to instinctual requirements may lead to an underprivileged open-loop model cycle. Over time, multiple deprived open-loop cycle instinct modes can evolve into persistent, old open-loop cycles of instinct, reinforcing starvation instincts in the long term.

 

Observation:

The influence of preprogrammed codes of the Subconscious Component has limited capacity for development, feature expansion, or improved outcomes. Consequently, the outputs of decision-making patterns remain consistent throughout the evolutionary path of life. Distinct instincts activate or deactivate based on environmental parameters, which, in turn, influence decision-making patterns over time.

For instance, the fundamental mechanisms underlying decision-making in the Middle Ages are structurally similar to those governing decisions today. Historical evidence suggests the presence of consistent functional mechanisms behind decision-making, with the same programming codes executing and responding only to specific open-loop cycles. However, acquiring knowledge and life experience can refine the characteristics of the Conscious Component throughout an individual’s life.

The characteristics of the Ego/Superego Framework are inherently dynamic, allowing shifts in the decision-making process from the Conscious Component to the Subconscious Component so that it implies that decision-making patterns adhere to predefined rules and genetic preprogramming within instincts. As a result, logical parameters within the Decision-Making Map may diminish, and less significant genetic codes may influence the evolutionary path of life.

 

Observation:

 

1-The Distinction Between Robots and Humans

 

As organic beings, humans can be viewed as sophisticated biological robots due to the presence of preprogrammed codes embedded in decision-making maps beyond genetic and gender instincts. These preprogrammed codes execute algorithmic mapping in decision processes.

Analogical thinking within specific gender instances can promote consistency in decision-making patterns. Consistent algorithms suggest the presence of general preprogrammed codes within the Subconscious Component, leading to predictable behavioral patterns over extended periods.

 

2. Comparing Similarities in Programming Languages

 

The preprogramming language of the Subconscious Component structures a set of functions that regulate the brain’s chemical framework. Similarly, a robot’s binary language executes functional codes that adjust its central system. While the Subconscious Component generates unpredictable algorithmic codes within decision-making maps, an autonomous robot operates through predictable functions.

 

3. The Conscious and Subconscious Components

 

Rational decisions arise from the interaction between the Conscious and Subconscious Components, influenced by social environments that shape decision-making maps. In contrast, an autonomous robot makes decisions based on predefined algorithms structured within a rational function model.

 

4. Dialogue Between the Ego and Superego Framework

 

The interaction between the Ego and Superego determines the algorithmic structure of decision-making patterns within the Subconscious Component. The Superego is linked to social contexts, while the Ego Framework is associated with instinctual components. This dialogue dictates whether decision-making maps develop through the Conscious or Subconscious Component. Unlike humans, autonomous robots lack functional Ego and Superego frameworks, though programmers define specific parameters to regulate ethical performance.

The outcome of the dialogue between the Superego and Ego is stored within the domain of Iceberg Cells. The algorithmic implementation of this dialogue transmits logical parameters through the Conscious Component, determining whether an individual has successfully navigated the evolutionary path of life. The dialogue outcome is influenced by environmental context characteristics and logical data within decision-making maps.

 

5- Demonizing Process and Opponents

 

An instance parameter of the demonizing process can expose and amplify existing hypocrisy, ultimately complicating policy sincerity within social contexts. Intensely active competitive instincts are deployed against competitors or opponents through the decision-making model.

 

Conclusion:

 

The philosophical debate over whether human life is governed by destiny or shaped by free will remains an ongoing discourse. According to an observational study, free will manifests through algorithmic codes that extend beyond logical data within the Conscious Component. In contrast, destiny operates through algorithmic codes embedded in the modules and submodules of the Subconscious Component.

Free will involves formulating plans, pursuing goals, and strategically allocating resources along the evolutionary path of life. Conversely, destiny unfolds through autopilot decisions within the Subconscious Component, where the rational faculties of Consciousness remain uninvolved in the decision-making process. When the Survival Instinct encounters complexity and challenges, it strives to complete a closed-loop cycle of instinctual conditions. In doing so, aggressive algorithmic codes transmit signals to the Network of Competitive Instincts, enabling adaptive responses to real-world challenges and complexities.

Human actions and decisions in physical reality often occur impulsively, without conscious realization. Consequently, adverse events may emerge later in life due to seemingly naive choices. These unforeseen consequences can be perceived as the forces of destiny, side effects of decision-making patterns shaped over time by invisible parameters within the Subconscious Component.