Algorithmic Mechanisms Beyond Free Will and Destiny Forces

This Interdisciplinary Research outlines a comprehensive guideline model for the Default Properties of Free Will and Human Destiny. The observational research focuses on identifying functional mechanisms beyond Free Will and the forceful role of Destiny in human life. Instance Parameters of Free Will and Human Destiny can instantiate broad algorithmic structures within the Decision-Making Map. 

The Black Box Testing Method exploits through experimental study to identify a guideline model for illustrating the Default Properties of Free Will and Human Destiny. The Testing examines and identifies the key characteristics of Free Will and Human Destiny through Conscious/ Subconscious and External Entities outside of Social Contexts.

Free will is the capacity to select the best possible Decision for a course of action without the engagement of External Entities. 

The absence of Open-loop Instincts, optimal Genetic Instincts, a vigorous Cooperative Instinct, homogeneous Social Contexts, and Harmonious Balance within Iceberg Cells can ensure the involvement of Conscious components in the Decision-Making Pattern. The Conscious Component can process Closed-loop conditions within Instincts through a logical Data mechanism.  

Rational parameters in the Conscious Component process the nature of freedom of action, and it protects the capacity to make choices. Logical Parameters in Conscious Component analyze and monitor a broad constraint for protecting Decisions and Open-loop Instinct Cycles. Rational Parameters can also execute an array data structure with the best possible solution within the Decision-Making Map.

The instance parameters of Decision-Making within Social Contexts can instantiate an array of Free Will and a course of action without the engagement of External Entities on the evolutionary path of life.

Multiple Old Open-loop Instincts, insignificant Genetic Instincts, a starving Survival Instinct, a persuasive Competitive Instinct, an Emaciated Superego, a Steady Ego Framework, and heterogeneous Social Contexts can pave the way for the involvement of the Subconscious Component in the Decision-Making Pattern. 

Multiple Module Functions within the Subconscious Component can attenuate the Capacity of Freewill. The program code behind Multiple Module Functions can respond to all requirement types within Open-loop Instincts, generate Positive Feedback to Ego Mechanisms, and sustain Harmonic Balance among Instincts for Closed-loop conditions. A subconscious component can process Closed-loop Modes without a logical data control mechanism. Irrational Parameters beyond Functional Mechanisms can also execute an array of data structures without the best possible solution within the Decision-Making Map. Therefore, the Decision-Making Pattern through the Subconscious always has suboptimal Outputs. Incompatible Choices can respond to Irrational Requirements within Open-loop Instincts. Eventually, instance parameters of Decision-Making within Social Contexts can instantiate an array of human destinies on the evolutionary path of life. Humans can encounter an Infinite loop, Unpredictable Outputs, and Inconsistent Events on the trail of life. 

The Conscious Component Can Create Free Will

Decision-Making Map through the Conscious Component can develop harmony and sustain within Social Contexts and align with the Target-based Model of Social Environments. The outcome of the alignment can modify and improve Unpredictable Entities to Predictable Entities (Fig 1).

The complete collection of Predictable Entities within Social Contexts can process, capture, and achieve an Ultimate Goal. Free Will can manifest objective Decision-Making and Predictable Outputs on the evolutionary path of life. The logical data within the Conscious Component can detect predictable Outputs for the Ultimate Goal. (Fig 1)

 

                                                                                  

                            

The Subconscious can generate a predetermined course of events (Human Destiny).

The Decision-making Map through the Subconscious Component can instantiate and establish the Ultimate Goal when Open-loop Instincts, Survival Instinct, the Network of Competitive Instinct, and Ego Framework within the Subconscious Component target just requirements and accountability for conditions within Closed-loop Instincts. The instance of the Decision Map contains a code of Ego enforcement and offensive Competitive Instincts. 

The Target-based Model within Social Contexts can hardly meet the Instance Parameter Requirements because of compatibility issues related to the Property Nature of the Target-based Model. However, Parameter Requirements can aim and capture Unpredictable Social Entities to provide alignment options and respond to Open-loop Instances. Compatibility Issues and Entangled Adjustment with Social Entities might even instantiate Uncertainty, Chaos, and Unpredictable Events. The Side effects of Uncertainty and Chaos within Social Contexts are Infinite Loops, Unpredictable Modes, and Complicated Settings on the Evolutionary Path of Life. 

An infinite loop on the Evolutionary Path of Life can manifest Human Destiny, and the brain framework can detect Unpredictable and Inevitable Outputs, Inconsistent Events, and Infinite loops (Fig 2).    

                                                                                

 

 

The best possible Course of Action can be embedded into the Decision-Making Map.

The Decision-Making Map must encapsulate Goal-setting/ Logical Parameters (Predictable Inputs) through the Conscious Component. Goal setting suggests that Social Contexts can respond to objective Parameters and Predictable Outputs on the evolutionary path of life. Besides, Humans can configure Goal setting through Logical Parameters through the Conscious Component. Creating Logical Parameters in Social Environments can challenge people to exercise logical behavior. Logical Parameters within the Decision-Making Map are measurable, attainable, and relevant to the Property of the Target-based Model within Social Contexts. Rational Parameters within the Conscious Component aim and prioritize the underlying vital goals for humans on the evolutionary path of life. Besides, they ignore the requirements of Closed-loop Instinct Conditions and Harmony Balance within the Ego Framework (Fig3).

                                                                                 

                                                                                

 

The Subconscious Component can perpetuate and deliver Human Destiny Empowerment.

Decision-Making Map encapsulates Specific Demand Parameters for resource satisfaction within Subconscious Component. For example, the Decision-Making Map aggregates Demand Parameters for Open-loop Instinct Modes for responding to the needs of the Ego Framework, and it can generate Unpredictable Inputs in Social Contexts. Therefore, Humans can hardly set an objective goal through the logical Data within the Conscious Component because internal Data are barely compatible with the properties of the Target-based Model in Social Contexts. (Fig 4)

                                                                                  

 

 

An Irrational Goal through the Subconscious can manifest Complex Outputs in Social Contexts.

Demand Parameters within the Decision Making Map through the Subconscious Component have hardships aligning with the Property of a Target-based Model within Social Contexts because of Compatibility Issues. A Random Process would perpetuate Uncertainty and Chaos within Social Contexts. The Side-effects of Uncertainty Events and Chaos within Social Contexts are Infinite Loops and Unpredictable Modes on the Evolutionary Path of Life. Decision Makers can experience a sense of a predetermined course of events, which implies a sense of destiny adventure (Fig 5).  

                                                                         

                                                                     

 

Unpredictable Events can be processed despite a Rational Algorithm within Decision Making Map.

Supernatural Entities can modify with force the Structure of Social Properties that influence Human Fate through subsistence Lifestyle Courses. Modification Force can convert Predictable Social Entities to Unpredictable Social Entities within Social Contexts. The force of adoption can alter Goal-setting to Unpredictable Events. Finally, an Infinite Output is generated because of Unpredictable Events in Social Domains. Side-effects of Infinite Output can manifest dilemmas, Inconsistent Events, and Complexity in Social Contexts. Insignificant Dilemmas may cause Decision-Makers to experience a sense of destiny on the evolutionary path of life (Fig 6).   

                                                                                                                                      

                                          

 Analogical Inferences between Conscious Component and Predictable Social Domains.

Analogical Reasoning can identify explanatory structure from a known system (the source) to a new and unknown system (the target). Analogical Reasoning is a mapping between two different architectures that belong to similar or distinct domains.

A known system in this study is Predictable Social Entities within a Social Context (the source). The unknown system is the Conscious Component (the target). (Fig 7)

Analysts can recognize an analogy between two objects by comparing internal attributes within them. In other words, using logical parameters in Consciousness can generate a distinguished analogy between Conscious Component and Social Context. A decent similarity can pave the way to identifying explanatory structure from a known system (the source) to a new and unknown system (the target). Realistic Decisions consider understanding and comparing trade-offs between domains within the Conscious Component and Scope of Social Contexts. Substantial similarity among fields implies an Optimal Decision-Making Model. 

 

According to an observational study, distinct subcomponents within the Conscious Component can target to produce similar stability related to Algorithmic Properties that allocate within Predictable Social Entities. System analysts can identify the Mechanism Characteristics of the Conscious Component after a specific Decision-Making Pattern. However, the Conscious Mechanisms would instantiate semantic and similar attributes within Predictable Social Entities. Algorithmic Properties can develop through the process of Decision-Making maps. (Fig 7)

Successful analogical inferences between Property in Decision Making Map and Property in Predictable Social Entities can ensure and manifest goal achievement, predictability, Consistency, and Optimal Resolution within Social Contexts. Decision-makers can experience a sense of Free Will on the evolutionary path of life. (Fig 7)

Instance Conscious Attributes (Target) within Social Contexts search to integrate with instance Attributes of Predictable Social Entities (Source). Outstanding Dialogue between Target and Source can create an exceptional integration state. Desire inferences and Predictive Outputs can instantiate because of the unique Integration. (Fig 7)     

                                                                      

 

 

The subconscious Component Would Instantiate Unpredictable Outputs.

Instance Subconscious Attributes within Social Contexts (Target) search to integrate with instance Attributes of Unpredictable Social Entities (Source). Suboptimal Dialogue between Target and Source with complex properties can create an insignificant integration state because the Target pursues to process Closed-loop conditions within the Survival Instinct. Requirements for Closed-loop Mode in specific Instinct can hamper Conscious Mechanism engagement in Decision-Making Map. The accuracy of analogical inference can attenuate between the Conscious Component and Social Contexts. The disparity between Property attributes of Consciousness and Social Contexts causes Environmental Intricacy. Consequently, this phenomenon can instantiate and establish Subjective Inferences with Unpredictable Outputs on the evolutionary path of life (Human Destiny). (Fig 8)

                                                         

                                                                             

 

Observation:

Property of Genetic Instincts can modify Decision-Making Patterns and Algorithmic Mechanisms beyond Human Biology.

 

Observation:

One of the substantial distinctions between the Subconscious and Conscious components is allocating the Control Mechanisms behind the Conscious Component. For example, an Open-loop Cycle within a Single Instance can stay in starvation mode and obstruct conditions for a Closed-loop Instance. 

Mechanisms beyond the Subconscious Component call and usually instantiate Closed-loop Instinct Mode because the Ego Framework focuses on Positive Feedback to Instinct Requirements. Instinct Source Codes and Multiple Module Functions can execute an Instinct Closed-loop Cycle when Positive Feedback from Ego meets Instinct Requirements.

A Conscious Component has a defensive programming mechanism on Instinct Open-loop because source codes prevent Positive Feedback to Instinct Requirements in the Open-loop Cycle.

The Superego Mechanisms and the Logical Parameters within the Conscious Component can monitor logical Data within Instinct Requirements. Optimal Requirements can execute the condition for Closed-loop Instinct. Irrelevant Requirements within Instances can prevent Closed-loop Modes. Negative Feedback from Conscious Component to Instinct Requirements can cause an underprivileged Open-loop Model. Eventually, Multiple Deprived Open-loop Models would become Old Open-loop Instincts in the long term.

Observation:

The Software Property of the Subconscious Component can barely develop, become a new feature, and generate a better outcome. Therefore, the Outputs of Decision-Making Patterns are the same on the evolutionary path of life. Distinct Instincts become active/ inactive through environmental parameters that alter Patterns of Decisions over time. 

For example, the Functional Mechanisms of Decisions in the Middle Ages are the same as the Operational Mechanisms today. Humans, through history, justify that Consistent Functional Mechanisms exist behind Decision Making. A similar programming code executes and responds only to specific Open-loop cycles. Gaining Knowledge and life experience can modify the Property of the Conscious Component through the life path. 

The property of the Ego Framework can change the direction of the Decision-Making Process from the Conscious Component to the Subconscious Component. It implies that Decision-Making Patterns execute according to definite rules and predictive genetic preprogramming within Instincts. Logical parameters can diminish within the Decision-Making Map, and insignificant Genetic Codes can respond to the evolutionary path of life.

 

Observation: 

 

The Distinction Between Robots and Humans

 

As organic beings, humans can identify as sophisticated Robots because of Preprogrammed Codes beyond Genetic/Gender instincts embedded in Decisions. Instance Preprogrammed Codes Execute Algorithmic Mapping in Decision Processes. 

Analogical Thinking in the specific Gender Instance can advocate a state of consistency in Decision-Making Patterns. Consistent Algorithms can propose general Preprogrammed Codes within Subconscious components and similar disciplines in behavior in predictable ways over a long period. 

1-The Program Language

The Program Language builds Subconscious Component functions for adjusting the Brain Framework's Chemical Language. The Binary Language within a Robot can execute functions in the Central System.

 

2- The Conscious and Subconscious Component

Rational Decisions can instantiate through interaction between the Conscious and Subconscious components. Social environments can influence Decision Maps. An Autonomous Robot can make decisions according to an algorithm based on a rational function model.

3-Dialog between the Ego and Superego Framework

The dialogue between the Ego and Superego can determine the Algorithm Structure Pattern for Decision-Making maps within the Subconscious Component. The Superego has an instance of threads through Social Contexts, and the Ego Framework has the Instinct Component. The Algorithm Structure Pattern can always determine whether Decision Making Map would develop through a Conscious or Subconscious Component. Autonomous robots lack functional mechanisms of the Ego and Superego Framework.

The Dialogue Outcome between Superego and Ego saves in the domain of Iceberg Cells. The Algorithm Implementation within Dialogue and encapsulated Logical Parameters through Conscious components can determine if a man passes the successful evolutionary path of life on earth. The Dialogue Outcome can respond to Social Complexity through Logical Data in decision-making patterns.

Observation:

An Instance Parameter of Demonizing Process can uncover and maximize Current Hypocrisy. Eventually, it entangles Policy Sincerity in Social Contexts. Vigorous active Competitive Instincts deploy against Competitors or Opponents through Decision-Making Model.