This Interdisciplinary Research outlines a comprehensive guideline model for the Default Properties of Free Will and Destiny. The observational study focuses to identify functional mechanisms beyond Free Will and Destiny Forces within Brain Framework. Instance Parameters of Free Will and Destiny can instantiate a wide variety of algorithmic parameters within the Decision- Making Map.
The Black Box Testing Method exploit through experimental study in order to identify a guideline model for illustrating the Default Properties of Free Will and Destiny. The Testing Model examines and identifies the key characteristics of Free Will and Destiny through Conscious/ Unconscious and External Entities outside of Social Context.
Free will is the Capacity to select the best possible Decision and to choose a course of action without the engagement of External Entities.
The absence of Open-loop Instincts, Optimal Genetic Instincts, a Strong Cooperative Instinct, and Harmonic Balance within Iceberg Cell can ensure involvement of Conscious Component in Decision-Making Pattern.
Conscious Component can process Closed-loop Instincts with logical access control mechanism.
Rational parameters in the Conscious Component process the nature of freedom of action and it protects the capacity to make choices. Logical Parameters analyze and monitor a wide range of constraints within Open-loop Instincts. Logical Parameters can also execute an array data structure with the best possible solution within the Decision-Making Map. Eventually, instance parameters of Decision-Making within Social Context 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, Poor Genetic Instincts, a Strong Survival Instinct, a Strong Competitive Instinct, a Poor Superego, a Strong Ego, and Complex Social Context can pave the way for the involvement of Unconscious Component in Decision-Making Pattern. Multiple Module Functions within Unconscious Component can reduce the Capacity of Freewill.
These parameters are programmed to respond to all requirements types within Open-loop Instincts, to generate Positive Feedback to Ego Mechanism, and to sustain Harmonic Balance among Instincts (Closed-loop Instincts).
Unconscious Component can process Closed-loop Instincts without logical access control mechanism.
Irrational Parameters can also execute an array data structure without the best possible solution within the Decision-Making Map. Therefore, Decision-Making Pattern through Unconscious has always suboptimal Outputs. Incompatible Choices can feedback to Irrational Requirements within Open-loop Instincts. Eventually, instance parameters of Decision-Making within Social Context can instantiate an array of Destiny on the evolutionary path of life. An Infinite loop, Unpredictable Outputs, and Inconsistent Events can encounter on the path of life.
Conscious Component can instantiate Free Will
Decision-Making Map through Conscious Component can develop and sustain within Social Context. Instance parameters of Decision-making in Brain can align and modify Target-based Model for Decision Making in Social Context. The outcome of the modification process through Target-based Model is either Unpredictable or Predictable Entities within Social Context. (Fig 1)
Unpredictable Entities can be modified by other Predictable Target-based Models in Social Context. The outcome of the modification can process Predictable Entities within Social Context. (Fig 1)
The complete Collection of Predictable Entities within Social Context 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 brain can detect predictable Outputs, which achieve the Ultimate Goal. (Fig 1)
Unconscious can generate a predetermined course of events (Destiny)
Decision-making Map through Unconscious Component can instantiate when Open-loop Instincts, Survival Instinct, Competitive Instinct, and Ego within Unconscious Component target just requirements and accountability for Closed-loop Instincts and Ego Framework.
Parameter Requirements for Closed-loop Instincts and Ego encapsulate into Decision-Making Map. Instance Parameter Requirements are responsible for providing feedback and returning optimality towards Open-loop Instincts and Ego from Social Context. The Target-based Model within Social Context is isolated and it does not meet the Instance Parameter Requirements because of compatibility issues related to their property. However, the instance Parameter Requirements can target Unpredictable Social Entities in order to provide alignment options and feedback to Open-loop Instincts. Compatibility Issues and Complex Alignment with Social Entities might even instantiate Uncertainty, Chaos, and Unpredictable Events. (Fig 2)
The Side-effects of Uncertainty and Chaos within Social Context is Infinite Loops, Unpredictable Modes, and Complex Setting-Goal on the Evolutionary path of life. Infinite loop on the Evolutionary Path of Life can manifest Destiny. The brain can detect Unpredictable and Inevitable Outputs, Inconsistent Events, and Infinite loops. (Fig 2)
Select the best possible Course of Action can embed into Decision Making Map
Decision- Making Map encapsulates Goal-Setting/ Logical Parameters (Predictable Inputs) through Conscious Component. Goal-setting within Decision Making Map implies that Social Context can feedback and respond objective Parameters and Predictable Outputs on the evolutionary path of life. Goal-setting can configure through Logical Parameters within Conscious Component. Logical Parameters within Decision Making Map are measurable, attainable, and relevant to the Property of Target-based Model within Social Context. Logical Parameters within Conscious Component aim and prioritize the basic vital goals for human on the evolutionary path of life. Besides, they ignore both the requirements of Closed-loop Instincts and Harmony Balance within Ego. (Fig 3)
Unconscious Component can generate destiny
Decision- Making Map encapsulates certain Demand Parameters for Resources Satisfaction within Unconscious Component. For example, Decision-Making Map aggregates Demand Parameters for Open-loop Instincts and contains Feedback needs to the Ego. These instance parameters are Unpredictable Inputs within Decision Making Map. Goal-Setting and Logical Parameters ignore for Objective Decision Making. However, Input Parameters are not compatible with the Property of Target-based Model within Social Context. (Fig 4)
An Irrational Goal through Unconscious manifest Complex Outputs in Social Context
Demand Parameters within Decision Making Map through Unconscious Component have difficulties to align with the Property of Target-based Model within Social Context due to Compatibility Issues. Therefore a Random Process would perpetuate Uncertainty and Chaos within Social Context. The Side-effects of Uncertainty Events and Chaos within Social Context is Infinite Loops and Unpredictable Modes on the Evolutionary path of life. Decision Makers can experience a sense of predetermined course of events, which imply sometimes a sense of destiny adventure. (Fig 5)
Unpredictable Events can process despite a Rational Algorithm within Decision Making Map
God and Supernatural Entities can modify Structure of Social Properties that influences the Human Fate through either Powerful Man or an Average person. God and Supernatural Entities can also modify Mother Nature, environmental Parameters, and Lifestyle Courses on the earth. Modification Force can convert Predictable Social Entities to Unpredictable Social Entities within Social Context. Integration of Unpredictable Social Entities with Goal-setting Alignment can generate Unpredictable Events. Finally, an Infinite Output generates due to the integration between Unpredictable Events and other Predictable Social Entities. Side-effects of Infinite Outputs can manifest Dilemma, Inconsistent Events, and Complexity in Social Context. Decision Makers can experience a sense of destiny on the evolutionary path of life. (Fig 6)
Analogical inferences between Conscious Component and Predictable Social Entities
Analogical Reasoning can identify explanatory structure from a known system (the source) to a new and unknown system (the target). Basically, Analogical Reasoning is mapping between two different systems, which belong to either similar domains or different domains. (Fig 7)
A known system in this study is Predictable Social Entities within Social Context (the source). Unknown system is Conscious Component within Brain Framework (the target). (Fig 7)
An analogy would be recognized through comparing similar data objects. In other words, using good logical parameters in Conscious can generate good analogy between Conscious Component and Social Context. Good analogy can pave the way to identify explanatory structure from a known system (the source) to a new and unknown system (the target). Realistic Decisions consider as understanding and comparing trade-offs between parameters within Conscious Component and parameters within Social Context. Good similarity among Parameters imply to a good Decision Making Model. (Fig 7)
According to observational study, different subcomponents within Conscious Component target to produce similar stability related to Algorithmic Properties, which allocate within Predictable Social Entities. (Fig 7)
The explanatory structure of Conscious Component is not known before a certain Decision Making Pattern. However, the Conscious Mechanism would instantiate semantic and similar attributes, which encapsulate within Predictable Social Entities. Algorithmic Properties can develop through the process of Decision-Making Map. (Fig 7)
Good 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 Context. Decision Makers can experience a sense of Free Will on the evolutionary path of life. (Fig 7)
Instance Conscious Attributes (Target) within Social Context search to integrate with instance Attributes of Predictable Social Entities (Source). Optimal Dialogue between Target and Source can create optimal integration state. Objective inferences and Predictive Outputs can instantiate due to the state of Optimal Integration. (Fig 7)
Unconscious Component would instantiate Unpredictable Outputs
Instance Unconscious Attributes (Target) within Social Context search to integrate with instance Attributes of Unpredictable Social Entities (Source). Suboptimal Dialogue between Target and Source with complex properties can create suboptimal integration state because Instance Unconscious Attributes within Social Context Search to process Closed-loop Survival Instinct within Unconscious Component. Requirements for Closed-loop Survival Instinct within Unconscious Component hamper Conscious Mechanism involvement in Decision Making Map. A good analogical inference can eliminate between Brain and Social Context. Disparity between Property Attribute of Brain and Social Context cause Environmental Complexity (Suboptimal Integration Mode). Consequently, this phenomena can instantiate and perpetuate Subjective Inferences with Unpredictable Outputs on the evolutionary path of life (Destiny). (Fig 8)
Property of Genetic Instincts can modify both Decision-Making Pattern and Algorithmic Mechanisms in Human Biology.
One of the substantial differences between Unconscious Component and Conscious Component is the Feedback Mechanism beyond an Open-loop Cycle within a Single Instinct.
Unconscious Component instantiates usually Closed-loop Instinct because of Ego Framework focuses on positive feedback to Instinct Requirements. Instinct Source Codes and Multiple Module Functions can execute Instinct Closed-loop when positive feedback from Ego meets Instinct Requirements.
A Conscious Component has a defensive programming mechanism on Instinct Open-loop. Source Codes and Multiple Module Functions within Conscious would sometimes prevent positive feedback to Instinct Requirements in Open-loop Mode. Superego Mechanism and Logical Parameters within the Conscious Component can monitor logic parameters within Instinct Requirements. Optimal Requirements can execute Closed-loop Instinct. Suboptimal Requirements within Instincts can prevent Closed-loop. Negative feedback from Conscious to Instinct Requirements can cause a Poor Open-loop Model. Eventually, Multiple Poor Open-loop Models would become Old Open-loop Instincts in the long term.
The Property of Unconscious Component cannot develop and turn to a new version; therefore, Decision Making Patterns are the same on the evolutionary path of life. Certain Instincts become active and inactive over the time period.
For example, the property of Decision Making through Unconscious Component in the Middle Ages is as same as the property of Decision making in today's world.
Mankind can make the similar mistake in Decision Making through Life's Journey if Unconscious Component involves just in Decision Making. Consistency in Functional Mechanisms within Unconscious Component can indicate that a programming mechanism executes and responds only to certain Open-loops. However, the Property of Conscious Component can change and develop on the evolutionary path of life. Both gaining Knowledge and life experience can modify the Property of Conscious Component through the life path.
Property of Ego Framework can change the direction of Decision Making from Conscious Component to Unconscious Component. It implies that Decision-Making Patterns execute according to definite rules and predictive genetic pre-programming within Instincts. Logical parameters can diminish within Decision-Making Map and Poor Genetic Codes can respond to the evolutionary path of life.
Differences between Robot and Human
According to an observational study, human can identify as a sophisticated Robot due to Pre-Programmed Codes beyond Gender Instincts, which embed within Instinct Component.
Instance Pre-Programmed Codes execute Algorithmic Mapping through Decision Making Process. Analogical Thinking in specific gender can identify the role consistency in Decision Making Patterns. Consistent Algorithms can propose general Pre-programmed Codes within Brain Framework. Pre-programmed Codes are beyond behavioural operations when Systems perform in consistently predictable ways over a long period of time.
1-The Program Language
The Program Language builds functions in Human Brain are the Chemical Language and the Program Language builds Functions in Central System of Robot is the Binary Language.
2- Conscious and Unconscious Component
Parameters in Decision-Making Map for Human can instantiate through interaction among Subcomponents within Conscious and Unconscious. Social environments can modify Decision- Making Map. The Robot can make a decision according to an algorithm based on a rational function model.
3- Ego and Superego dialogue
The dialogue between Ego and Superego can determine the Algorithm Structure Pattern for Decision-Making Map in Human Brain. Superego has an instance of threads through Social Context and Ego has an instance of threads through Instinct Component. The Algorithm Structure Pattern can always determine if Decision Making Map would develop through either Conscious or Unconscious Component. But, Ego and Superego Framework do not exist within Robot right now.
Dialogue Outcome between Superego and Ego saves in Iceberg Cell. The Algorithm Implementation within Dialogue and encapsulated Logical Parameters through Conscious Component can usually determine if a man passes the successfully evolutionary path of life on the earth. The Dialogue Outcome together with Logical Parameters can respond to complexity within Social Context through Decision Making Patterns.
An Instance Parameter of Demonizing Process can expose and maximize Current Hypocrisy. Eventually, it involves Policy Sincerity in Social Context. A strong active Competitive Instinct within Unconscious Component is beyond Decision Making Model for Demonizing Competitors or Opponents.