Participants - Revision history

Anonimo: /* "A human saying: 'Hello world!' to another human": */

2017-02-19T14:30:38Z

‎"A human saying: 'Hello world!' to another human":

Anonimo: /* "A human saying: 'Hello world!' to another human": */

2017-02-19T14:29:08Z

‎"A human saying: 'Hello world!' to another human":

Anonimo: /* Participant examples */

2017-02-19T14:24:07Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:22:36Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:21:41Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:18:27Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:16:23Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:15:36Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:14:54Z

‎Participant examples

Anonimo: /* Participant examples */

2017-02-19T14:11:17Z

‎Participant examples

@@ Line 141: / Line 141: @@
 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!" and both are represented on time like a generation made by Bob and Alice identifiers as voluntary actions that can be measured (processed) = Bob says "Hello World!" and just some seconds later Alice says "Hello bob!".
+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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@@ Line 141: / Line 141: @@
 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!" and both are represented on time like a generaton of voluntary actions that can be measured = Bob says "Hello World!" and just some seconds later Alice says "Hello bob!".
+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!" and both are represented on time like a generation made by Bob and Alice identifiers as voluntary actions that can be measured (processed) = Bob says "Hello World!" and just some seconds later Alice says "Hello bob!".
 [...]

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 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 needs to be used. In fact, a single human brain cannot realizes it by itself and only can generates approximations.
+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.
+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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 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 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 processes.
+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 needs to be used. In fact, a single human brain cannot realizes it by itself and only can generates approximations.

@@ Line 116: / Line 116: @@
 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.
+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 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 processes.

@@ Line 122: / Line 122: @@
 On reality states and conditions are happening "at same time" as a multi-dimensional layer combined processes.
-The level of complexity of each 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 huge quantity of pieces of code that are involved and needs to be used. In fact, a single human brain cannot realizes it by itself and only can generates approximations.
+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 huge quantity of pieces of code that are involved and needs 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.

@@ Line 116: / Line 116: @@
 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 are based on time we can define a "moment" like a "semi-cycle part" of a "cycle part" of other cycles and semi-cycles mixed parts.
+Because of theory of states is based on a timeline, we can define a "moment" like a "semi-cycle part" of a "cycle part" of other cycles and semi-cycles mixed parts.
 This cycles and semi-cycles are not defined on reality by [https://en.wikipedia.org/wiki/Physics physics] so it is only used as another abstraction layer extra added to understand it. On reality they are happening at same time and as a multidimensional layer of states and condition processes.