Difference between revisions of "Participants"
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A human pseudo-language can be used as an abstraction interpreter to define how a participant can be processed as; "an information based on states and conditions that generates itself". | A human pseudo-language can be used as an abstraction interpreter to define how a participant can be processed as; "an information based on states and conditions that generates itself". | ||
| − | Because of states | + | Because of theory of states is based on a timeline to be understood, we can define a "moment" like a "semi-cycle part" of a "cycle part" of other cycles and semi-cycles mixed parts and short it as: n-1 semi-cycles and cycles mixed parts. |
| − | This cycles and semi-cycles are not defined on reality by [https://en.wikipedia.org/wiki/Physics physics] so | + | This cycles and semi-cycles are not defined on reality by [https://en.wikipedia.org/wiki/Physics physics] so are only used as another abstraction layer extra added to understand it. On reality states and conditions are happening "at same time" as a multi-dimensional layer combined process. |
| − | + | The level of complexity of each abstraction as form as piece of code is huge, even on first part of the first "semi-cycle part", so any approximation example can takes long time for a single human brain to be concluded. That is because of the huge quantity of pieces of code that are involved and that need to be used. In fact, a single human brain cannot realizes it by itself and only can generates approximations. | |
| − | This examples are made | + | This examples are made to define how pieces of information can be processed. This can be done by extracting them from facts on reality and converting into code. In short, this examples can be taken as a theory method to aim into realize that in general: '''reality can be coded and interpretated''' with a better skilled processing system. |
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| − | This is short example of some semi-cycles parts of n-1 semi-cycles of other cycles and semi-cycles. | + | This is a short example of some "semi-cycles parts" of n-1 semi-cycles of other cycles and semi-cycles. |
- Human 1: Bob = B | - Human 1: Bob = B | ||
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semi-cycle 3/n-1: [ B2/A*!A2/ABCD*B2/B*!A2/ABCD .... ] -> B2 condition A at same time than factorial of B2 conditions A, B, C and D at same time than B2 condition B at same time than factorial of B2 conditions, again, etc. "!" is the symbol used for [https://en.wikipedia.org/wiki/Factorial factorial] in maths = Bob can says "Hello World" as a voluntary action but doesn't know if Alice will reply with a voluntary action or not. Also he doesn't know if she gonna changes states and conditions. But at same time, Bob can say "Hello World" as an involuntary action with different effects on Alice reaction because she can again change states and conditions. And also at same time, Alice can generates states and conditions previous to the Bob fact of saying "Hello World!". | semi-cycle 3/n-1: [ B2/A*!A2/ABCD*B2/B*!A2/ABCD .... ] -> B2 condition A at same time than factorial of B2 conditions A, B, C and D at same time than B2 condition B at same time than factorial of B2 conditions, again, etc. "!" is the symbol used for [https://en.wikipedia.org/wiki/Factorial factorial] in maths = Bob can says "Hello World" as a voluntary action but doesn't know if Alice will reply with a voluntary action or not. Also he doesn't know if she gonna changes states and conditions. But at same time, Bob can say "Hello World" as an involuntary action with different effects on Alice reaction because she can again change states and conditions. And also at same time, Alice can generates states and conditions previous to the Bob fact of saying "Hello World!". | ||
| − | abstraction semi-cycle n-1/!n semi-cycles: [ A*!B ] -> Bob say 'Hello World!' as a voluntary action than generates another voluntary action that is Alice replying "Hello Bob!". And Alice generates a voluntary action made by another voluntary action which is Bob saying "Hello World!" | + | abstraction semi-cycle n-1/!n semi-cycles: [ A*!B ] -> Bob say 'Hello World!' as a voluntary action than generates another voluntary action that is Alice replying "Hello Bob!". And Alice generates a voluntary action made by another voluntary action which is Bob saying "Hello World!". Both are represented to human perception level on time like, a generation made by Bob and Alice identifiers, as voluntary actions, that are measured (processed) = Bob says "Hello World!" and just some seconds later Alice says "Hello bob!". |
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Latest revision as of 15:30, 19 February 2017
Categories for participants are: human, fauna, flora and resource.
This method to order participants by categories is used by anarcho-pragmatism_model to simplify the methodology development, because from a pragmatic perspective; there is only one participant on the system (ex: "You or I").
Each category is directly related with the 'Scale of consensual empowerment variables' because it defines one part of the methodology used to calculate the consensus value for each single participant on the networked system. This scales and derived values will be used to be compared with others and to make pragmatic priorities and decisions.
Some categories also may contain sub-categories, but all have in common that are described according with the anarcho-AI main definitions by a similar state or condition. These states and conditions are based on how action/reaction facts are materialized affecting to others on the shared reality.
Contents
States
States are related with time to be pragmatically understood. They are pieces of information than define constant values for the conditions of the participants on the system. That constant values can be changed so they aren't strictly statics (are cycles). There are 3 different possible states:
- State "1": unconscious. - State "2": conscienced. - State "3": state of "death" (non-manufacturated resource)
Conditions
Conditions are related with a fact. They are pieces of information than define variable values for the state of the participants on the system. That variable values can become constants (for example, during State "C" for humans, fauna and flora with current scientific researching level about reality). There are 4 different possible conditions:
- Condition "A": a voluntary action that generates another voluntary action. - Condition "B": a voluntary action that generates an involuntary action. - Condition "C": an involuntary action that generates a voluntary action. - Condition "D": an involuntary action that generates another involuntary action.
Basic participants
Participants are members of a same tech-bio-network and have similar rights, but with different scales.
A single participant is considered by the system like; "pieces of processed information", that only differs with the rest of participants on the number of data involved to be measured. Every single participant is composed by states and conditions as "pieces of information to be processed".
Human
A human can has conscience about anarcho-AI methodology and act by using voluntary actions more ofently than other participants. An example can be "You or I". They have 4 conditions and 3 states:
- Conditions: A, B, C and D. - States: 1, 2 and 3.
That can be mixed as follow:
- State 1: Conditions A, B, C and D. - State 2: Conditions C and D. - State 3: Conditions C and D.
Fauna
Fauna cannot has plenty conscience about anarcho-AI methodology so mostly acts are coming from involuntary actions. That doesn't means that they can act according to voluntary actions if are supported by other participants (for example, humans). An example can be a dog. They have 4 conditions and 3 states (similar to humans):
- Conditions: A, B, C and D. - States: 1, 2 and 3.
That can be mixed as follow:
- State 1: Conditions: A, B, C and D. - State 2: Conditions: C and D. - State 3: Conditions: C and D.
Flora
Flora only has 1 condition and 2 states. An example can be a taxus baccata:
- Condition: D. - States: 2 and 3.
That can be mixed as follow:
- State 2: Conditions: C and D. - State 3: Condition: D.
Resources
Resources are divided on 2 sub-categories: manufactured and non-manufactured. They have in general 4 conditions and 2 states.
Manufactured
This are those resources that have being manipulated by other participants from a different category. An example can be an AI. They have 4 conditions and 3 states:
- Conditions: A, B, C and D. - States: 1 and 2.
That can be mixed as follow:
- State 1: Conditions: A, B, C and D. - State 2: Condition: C and D.
Non-manufacturated (state of "death")
This are those resources that haven't being manipulated by other participants from a different category. An example can be a rock.
It is called state of "death" because all participants with a State "C" are being part of one category (their main category) and another (this one) at same time.
It should be considered as the "root" of each participant ("from where they come and to where they go"). They have 2 conditions and only 1 state:
- Conditions: C and D. - State: 3.
That only can be mixed as follow:
- State 3: Conditions: C and D.
Participant examples
A human pseudo-language can be used as an abstraction interpreter to define how a participant can be processed as; "an information based on states and conditions that generates itself".
Because of theory of states is based on a timeline to be understood, we can define a "moment" like a "semi-cycle part" of a "cycle part" of other cycles and semi-cycles mixed parts and short it as: n-1 semi-cycles and cycles mixed parts.
This cycles and semi-cycles are not defined on reality by physics so are only used as another abstraction layer extra added to understand it. On reality states and conditions are happening "at same time" as a multi-dimensional layer combined process.
The level of complexity of each abstraction as form as piece of code is huge, even on first part of the first "semi-cycle part", so any approximation example can takes long time for a single human brain to be concluded. That is because of the huge quantity of pieces of code that are involved and that need to be used. In fact, a single human brain cannot realizes it by itself and only can generates approximations.
This examples are made to define how pieces of information can be processed. This can be done by extracting them from facts on reality and converting into code. In short, this examples can be taken as a theory method to aim into realize that in general: reality can be coded and interpretated with a better skilled processing system.
"A human saying: 'Hello world!' to another human":
This is a short example of some "semi-cycles parts" of n-1 semi-cycles of other cycles and semi-cycles.
- Human 1: Bob = B
- Human 2: Alice = A
semi-cycle 1/n-1: [ B2*A2 ] -> B2 and A2 at same time (* is used to define a same abstraction "moment") = Bob and Alice are on state of 'conscienced' (for example, Bob and Alice just meet when they are walking on street).
semi-cycle 2/n-1: [ B2/ABCD*A2/ABCD ] -> B2 and A2 are identifiers recorded from previous semi-cycle part that can be removed on final results, because of the composition of cycles and semi-cycles and the whole system, identifiers aren't needed. "/" means conditions = Bob and Alice have similar states and can set different conditions to same reality. = "ABCD" means that Bob can say 'Hello world!' as a voluntary action that generates another voluntary action or others on Alice and viceversa.
semi-cycle 3/n-1: [ B2/A*!A2/ABCD*B2/B*!A2/ABCD .... ] -> B2 condition A at same time than factorial of B2 conditions A, B, C and D at same time than B2 condition B at same time than factorial of B2 conditions, again, etc. "!" is the symbol used for factorial in maths = Bob can says "Hello World" as a voluntary action but doesn't know if Alice will reply with a voluntary action or not. Also he doesn't know if she gonna changes states and conditions. But at same time, Bob can say "Hello World" as an involuntary action with different effects on Alice reaction because she can again change states and conditions. And also at same time, Alice can generates states and conditions previous to the Bob fact of saying "Hello World!".
abstraction semi-cycle n-1/!n semi-cycles: [ A*!B ] -> Bob say 'Hello World!' as a voluntary action than generates another voluntary action that is Alice replying "Hello Bob!". And Alice generates a voluntary action made by another voluntary action which is Bob saying "Hello World!". Both are represented to human perception level on time like, a generation made by Bob and Alice identifiers, as voluntary actions, that are measured (processed) = Bob says "Hello World!" and just some seconds later Alice says "Hello bob!".
[...]
