Information Distribution Problem

 The lack of recognition of efforts is a plague of society, an immense amount of effort goes unrecognized. Meaning there is constant input on behalf of an individual with a varying degree of output. This is a highly concerning situation for the system as a whole. For a positive feedback loop to take place, inputs must balance with outputs, respectively. In this model, inputs balance with outputs creating a dynamic contribution.

 The lack of recognition of efforts is a plague of society, an immense amount of effort goes unrecognized. Meaning there is constant input on behalf of an individual with a varying degree of output. This is a highly concerning situation for the system as a whole. For a positive feedback loop to take place, inputs must balance with outputs, respectively. 

In this model, inputs balance with outputs creating a dynamic contribution.

Hello!
 You may be wondering what 1+1 has to do with information and distribution.
 Well, you came to the right place to be informed. There is a link attached to the text box; 1+1=Hardfact? 
The link leads to a full paper on the subject.

 This simulation explains the technicals of the paper, it's unnecessary to read the paper, although I recommend reading it. It elaborates further on the functionality of the simulation and reasonings behind its design. 
 Both humans and creatures work as components in an information delivery system. An abundance of organisms within a large ecosystem, delivering precise information to sections, like neural pathways in brains. 
 Analogous to a highway, if traffic becomes jammed it ceases to be efficient. 


 Systems maintain themselves through numerous components, & some work harder than others. However, the information is still communicated throughout the system. An imbalance will cause the system to deflate, ushering collapse, like a balloon. 

Organizing information into a structured format, running on better a consensus than we have now, is paramount to our existence. We produce plenty of complex data but with no real organization. 

 Hard Facts

 If kept simple, there are two types of facts. Hard-facts such as laws and fundamentals, and soft-facts that rely on bias or contingent information that's potentially dismissive of existing hard-facts. Soft-facts become hard-facts after being verified by other soft-facts, a functional consensus.
Two soft facts equal one hard fact if; 1(+/-)1=2 or 0 on a scale of 1-0
When: 1-0 is the range of a soft fact & 2 equals a hard fact1=Completely honest.75=Mostly honest with some dishonesty.50= Partly honest/dishonest.25=Mostly dishonest with some honesty0= Completely dishonest
Hard facts: Incontestable facts, compared to fiction. (Information categorized as being likely or probable versus improbable.) 
https://idiotknowledge.com/1-1hardfact/

 Constant
 A constant is represented in the form of soft-facts, on a scale of one to zero. Efforts remaining constant have the same amount of falsity as random efforts. The difference is honesty increases or decreases depending on the amount of constant effort.
 Soft-facts rely on bias or contingent information that's potentially dismissive of existing hard-facts. However, this does not condemn submissions as false or guilty until proven innocentThe soft-chain merely acts as a negotiator between contributors and the hard chain, preventing unnecessary arguments. Soft-facts become hard-facts after being verified by other soft-facts, a functional consensus. 
Two soft-facts equal one hard-fact if; 1(+/-)1=2 or 0 on a scale of 1-0
When: 1-0 is the range of a soft-fact & 2 equals a hard-fact1=Completely honest.75=Mostly honest with some dishonesty.50= Partly honest/dishonest.25=Mostly dishonest with some honesty0= Completely dishonest
Soft-facts: Contestable facts, compared to fiction. (Information categorized as being unlikely or improbable versus probable.)

RandBoolean(Effort Generation)

 This model uses a randomly generated binomial number for distribution, a randboolean generating a fifty percent chance of being either one or zero. Random generation is accurate in representing a person's subconscious effort. Considering a person's thoughts are inherently true or false it's either right or wrong, a base is naturally provided for the model. One or zero represents output, depending on the degree of magnitude in between a determined amount of falsity can be measured. 1=true.75=mostly true.50=partly true/false.25=mostly false0=falseOne is kept zero is discarded, the rest is filtered.

​Personal Blockchain(Input)


 A person can complete work on this chain in private. Work is submittable to the public creative chain(soft chain). Ideas/information can be distributed anywhere chosen by the person.


 Properties of Block

  • Private access
  • Personal/Unique
  • Safe/Secure
  • Digital Resume
  ​Soft-Chain  Submissions from a private chain or personal chain take place on the soft-chain. Soft-chain submissions are valid as long as it is above zero, however until the value of submissions equates to two they will not be submitted to the hard-chain for verification of input and eventual credit to the submitter. Inputs to the soft-chain remain in perpetuity until verified by a coinciding factor of one or more.
For example 

1+1=2 hard fact verifiable by the hard-chain.75+.25=1 soft-chain submission needing one more.50+1.5=2 hard fact1+0=1 soft-chain submission needing one more1+.25=1.25 +(.75)= hard fact when () equals another contributor's submission matching another

 Providing additional inputs will allow credit towards the submitter at a quicker pace. Many submitters to the chain would cause network effects and a positive feedback loop issuing more credits faster as the information system grows. Submitters gain credits for achievements with every other contributor added who submits valid truths to the soft-chain that coincide with other inputs that become verified by the hard-chain.

Confirmation

 Confirmation takes place after submissions. It's then added to a repository of information and distributed in various directions. After the contributor(s) send more submissions, the truth becomes validated and sent further along towards the hard chain. Updates to the system occur, and validation as a hard-fact takes place.
 Hard Fact Blockchain

  A hard-fact based blockchain, built as the underlying infrastructure for the network. A hard copy of verified information. The hard-fact chain is a summary of all verifiable facts. Propagated by peers working under a consensus algorithm monitored by an a.i program. A brain for the network directing the inputs/outputs, maintaining balance, under protection by many other components. Soft-facts become hard-facts after being verified by the hard-chain, the artificial intelligence program or the contributor(s). Credits are then issued to the contributors of the honest information.
 A base of understanding for the overall system is created by the hard-chain, all the collected information by the soft chain undergoes scrutiny before being accepted by the hard-chain. Having a system in place for the structure and organization of information leads to incredible possibilities of teaching computers more, like learning how to read, interpret data better, and the creation of mentor-like programs capable of catering to an individual.
​Artificial Intelligence Program

 The database for the artificial intelligence program grows at a much more rapid pace than all other components. The distribution of information is handled in an organized and presentable manner for public accessibility, via the digital interactive textbook. The D.I.T. represents an interface for information sent to both the hard and the soft-chain, provoking interest and debate globally. The artificial intelligence program gains knowledge of contributors and the system, allowing informed decisions by the program and the eventual capability of being mentor-like. Proficient in helping people achieve goals, orient behaviour towards motivation and above all, establish learning habits that work for an individual. The artificial intelligence program learns over time, similar to a search engine, the more informed inputs, the more credible and informed the outputs are.
Digital Interactive Textbook

​ 
A digital textbook provides a compendium of information presented to the soft chain and the hard chain in real-time available to the public. Allowing more dynamic contributions and public accessibility. The hard chain always has access to update the compendium spreading new verified information to the entire network. Control is maintained by the hard chain over the unique inputs flooding into itself from the soft chain by storing additional contested facts in the compendium in an organized manner. Security is provided to the hard chain by the a.i program and the digital textbook, protecting it, preventing overload. 

 The digital textbook provides an interface and a way to organize the information being presented to the chain(s). Direction by an a.i program allows efficient data storage, network optimization and many other potentials.


​ The amount of accessible knowledge. 
*Same as D.I.T*
​Verified Achievements

 The lack of recognition of efforts is a plague of society, an immense amount of effort goes unrecognized. Meaning there is constant input on behalf of an individual with a varying degree of output. This is a highly concerning situation for the system as a whole. For a positive feedback loop to take place, inputs must balance with outputs, respectively. In this model, inputs balance with outputs creating a dynamic contribution.
 Simulated Reality 
 Simulations provide an individual with a unique learning environment. An environment that's designed for the individual to learn within. Allowing any person to fully expand themselves and test ideas without fear, harnessing the full power of an individual's capabilities. Simulated reality provides a method of interpretation which cannot be provided by a person. Learners must be able to visualize the reasoning for efforts a baby learns how to walk because it is vital to survival. Anyone can learn anything if the reason for doing so can be validated one way or another. 
Simulated learning environments would allow;Precise model configurationInspection of design and understanding of complexitiesOne on one learning with numerous peer participantsAbility to ask questions without fearReal-world applicationsTrial and Error

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