# <!-- METAHEADER
# –––––––––––––––––––––––––––––––––––––––––––––––––– -->
"*": "https://raw.githubusercontent.com/wefindx/schema/master/method/oo-item.yaml"
# <!-- HEADER
# –––––––––––––––––––––––––––––––––––––––––––––––––– -->
"base:title": "0oo - A Transdisciplinary Lingua Franca"
"og:title": "A Transdisciplinary Lingua Franca"
"og:description": "One of the hardest things in ensuring access know-how is knowledge representation. It is not easy to find concepts that most people would be intimately familiar with, and yet that those concepts would map well across disciplines. So, here is one set of such concepts: to ask `Questions`, then proceeding to search for `Ideas` to answer them, then to start and run `Projects` based on those ideas, and to do `Tasks` (or &quot;`Challenges`&quot;) with respect to relevant `Places` to obtain `Results`. The below is an illustration of how transdisciplinary those concepts are, comparing them with the equivalent concepts in computer …"
"og:image": "https://avatars0.githubusercontent.com/u/28134655"
"og:url": "/method/1041/"
"base:css": "/static/css/bootstrap.min.9c25540d6272.css"
"base:extra-css": "/static/css/base.57997aeac1df.css"
"base:favicon": "/static/favicon.acaa334f0136.ico"
"base:body_class": ""
"layout:logo": "/static/0oo.8d2a8bbef612.svg"
"layout:index": "/"
"layout:menu": "/menu/"
"layout:categories": "/intents/"
"layout:ideas": "/methods/"
"layout:projects": "/projects/"
"layout:users": "/users/"
"layout:about": "/about/"
"layout:help": "/help/"
"layout:bug_report": "https://github.com/wefindx/0oo"
"layout:login": "/accounts/login/"
"layout:light-off": "/darken/?darken=true"
"layout:set-multilingual": "/mulang/?mulang=true"
"layout:lang": "Kalba"
"layout:set-language-post-action": "/i18n/setlang/"
"layout:csrf-token": "zZM5k8xT28J1EluIfA52c9pTGE32DhYFHKYrEAemmqmMRpCbvECdqLVkUli5p7OW"
"layout:input-next": "/method/1041/"
"layout:languages": [{"code": "ja", "is-active": "false", "name": "日本語"}, {"code": "lt", "is-active": "true", "name": "Lietuviškai"}, {"code": "zh-hans", "is-active": "false", "name": "简体中文"}, {"code": "en", "is-active": "false", "name": "English"}, {"code": "ru", "is-active": "false", "name": "Русский"}, {"code": "oo", "is-active": "false", "name": "O;o,"}]
# <!-- TOPIC
# –––––––––––––––––––––––––––––––––––––––––––––––––– -->
"item:parent:intents": [{"url": "/intent/21/", "title": "Procedūrinių žinių prieinamumas"}, {"url": "/intent/1063/", "title": "Project Based Learning"}]
"item:title": ".:en:A Transdisciplinary Lingua Franca.:cn:跨学科的语言文字"
"item:summary": "Introduce a tiny set of exhaustive transdisciplinary concepts that most people are intimately familiar with, that can represent all processes that people go through to build their worlds, then use them to organize information, and get people understand the modern world."
"item:voting": +4
"item:voting:add": "/admin/hlog/voting/add/?method=1041"
"item:voting:csrf_token": "zZM5k8xT28J1EluIfA52c9pTGE32DhYFHKYrEAemmqmMRpCbvECdqLVkUli5p7OW"
"item:voting:submit-value-option": {"selected": "[-]", "value": "-"}
"item:base-administration": false
"item:body": |
    One of the hardest things in ensuring access know-how is knowledge representation. It is not easy to find concepts that most people would be intimately familiar with, and yet that those concepts would map well across disciplines. So, here is one set of such concepts: to ask `Questions`, then proceeding to search for `Ideas` to answer them, then to start and run `Projects` based on those ideas, and to do `Tasks` (or "`Challenges`") with respect to relevant `Places` to obtain `Results`. The below is an illustration of how transdisciplinary those concepts are, comparing them with the equivalent concepts in computer science and how they are related to the physics.
    
    <center>
    <img src="https://wiki.mindey.com/shared/docs/0oo-principle-concepts.svg" width="85%">
    </center>
    
    In Computer Sciences, these concepts correspond to what programmer does within their programs, that rely on `TYPES`, `FUNCTIONS`, `VARIABLES`, `VALUES`, `OPERATIONS` and `PROCESSES`. However, as Alan Turing had shown, these processes decompose into simple INPUT/OUTPUT of bits.
    
    In Physics, scientists study `INPUT/OUTPUT` processes of `MATTER` and `ENERGY` instead, and use mathematics to model the changes they see, formalizing and approximating their behaviors with [field equations](https://en.wikipedia.org/wiki/Field_equation) describing [phase spaces](https://en.wikipedia.org/wiki/Phase_space).  (Note: as we discussed on the idea "[MRSGREN](https://0oo.li/method/1013/mrsgren-digital-organism-interface)", humans do that `I/O` of `M/E` as they live as well.)
    
    Think of "`FIELD FLUX`" in the image as computation -- in that sense, our industries are "physics apps", and if projects are examples of groups of humans "self-programming" to execute on their dreams, then having such examples of contextualized execution (or running of projects) in public would work like open source software, and this is an idea of one set of hypothetical of concepts to achieve this. This idea is currently is being tested here on 0oo.
"item:source-date": ""
"item:permalink": "/method/1041/?l=lt"
"item:owner": "Mindey"
"item:created": "2021-02-21T07:01:18.772781"
"item:ownerlink": "/user/147/Mindey"
# <!-- LINKS
# –––––––––––––––––––––––––––––––––––––––––––––––––– -->
"item:link:add": "/admin/hlog/link/add/?parent=1041"
"item:link:items":
- "id": "l-8001"
  "url": "https://github.com/wefindx/nrv/blob/master/nrv/v3.py"
  "text": ".:en:Data Alignment Protocol.:cn:数据对齐协议"
  "note": |
    This protocol (NRV v3) is based on this idea. Correspondance:
    
    - 'VALUE' is '100 RESOURCE', 
    - 'TYPE' is '200 CATEGORY',
    - 'FUNCTION' is '300 METHOD',
    - 'PROCESS' is '400 SYSTEM',
    - 'OPERATION' is '500 OPERATION',
    - 'VARIABLE' is '600 LOCATION'
  "owner": "Mindey"
  "ownerlink": "/user/147/Mindey"
  "permalink": "/method/1041/?l=lt#l-8001"
  "created": "2021-06-18T07:32:40.812689"
"item:project:items":
- "id": "p-1017"
  "title": "Network Resource Vocabulary Development Group"
  "url": "/project/1017/"
  "mission": "The sole purpose is to introduce, evolve and maintain data alignment protocol."
  "owner": "Mindey"
  "ownerlink": "/user/147/Mindey"
  "created": "2021-02-22T01:07:38.681480"
  "permalink": "/method/1041/?l=lt#p-1017"
- "id": "p-235"
  "title": "0 &gt; oo"
  "url": "/project/235/"
  "mission": "Pasaulinis finansinis „Think-Tank“ skirtas padėti pasauliui drauge apsibrėžti ir siekti tikslus."
  "owner": "Mindey"
  "ownerlink": "/user/147/Mindey"
  "created": "2015-08-18T13:57:29.854000"
  "permalink": "/method/1041/?l=lt#p-235"

# <!-- COMMENTS
# –––––––––––––––––––––––––––––––––––––––––––––––––– -->
"item:comment:items":
- "id": "a-11001"
  "mtrans": |

    Kaip tampa įvestis / išvestis: &lt;tipai, funkcijos, procesai, operacijos, kintamieji ir vertės?&gt;
    
    10100111011010101010101101101100101011
    Visa tai priverčia mane susimąstyti, kaip paprasta Turingo mašina tampa šiais 6 dalykais, su kuriais esame tokie įprasti.
    Akivaizdu:
    
    - ** Vertybės **: tai ** „Turing Tape“ ** duomenys arba būsenos.
    - ** tipai **: tik įprasti ** Tiuringo juostos modeliai **.
    - ** Kintamieji **: vietos ** „Turing Tape“ **.
    - ** Operacijos **: tai atsitinka, kai ** Laikrodis ** pažymi skaitymo ir rašymo vietas.
    - ** Procesai **: tai fiziniai ** laikrodžiai **, dėl kurių įvyksta operacijos - Turingo mašinos varikliai ir skaitymo / rašymo galvutė.
    - ** Funkcijos **: tai „kintamųjų **„ funkcija “** tipas **, kurie saugo vertes kaip įmanoma ** operacijas **, kurias reikia atlikti.
    
    Nesunku suprasti, kaip viskas, ką daro kompiuteris, aiškiai suskaidoma į šiuos dalykus. Man būtų įdomu sužinoti, kaip kompiuteris yra pastatytas tik iš NAND vartų, arba kaip smegenys yra visiškai iš asinchroninių neuronų, ir kokias įžvalgas galime gauti supratę, kaip šie žemo lygio dalykai tampa šiomis 6 sąvokomis, sukelia I ar matai tas pačias [sąvokas](https://0oo.li/method/923/supercategories-for-public-intelligence-standardization) veikiančias visuomenes. Galbūt supratimas, kaip informaciniai procesai tampa šiais 6 dalykais, padėtų sugalvoti ką nors (pvz., Organizacijos formą), kuri yra iš esmės nauja. Yra daugiau abstrakčių dalykų, pavyzdžiui, [lygties modelis](https://0oo.li/method/936/operation-search-equations) ir dar abstraktesnis dalykas, pvz., [Polycontext metasymbol](https://0oo.li / metodas / 863 / metaformatas). Ar yra kažkas panašaus į visuotinį priedą ir kaip jis gali suartėti visuotinio gėrio link?
    
    Įdomu pastebėti, kad „Kategorijos“ ir „Tipai“ yra „Klausimai“, „Užduotys“ ir „Užklausos“ ... sutampa su „Tikslai“, „Ketinimai“, „Problemos“, „Domenai“, „Pomėgiai“. Tai reiškia, kad [Užklausos yra kategorijos](https://twitter.com/mindeyi/status/1373851121261940737): kiekviena paieškos užklausa yra kategorija.

  "text": |
    How does I/O become: <Types, Functions, Processes, Operations, Variables and Values?>
    
    10100111011010101010101101101100101011
    That all makes me wonder, how does a simple Turing Machine become these 6 things, that we are so common with.
    Obviously:
    
    - **Values**: it's the **Turing Tape** data, or states.
    - **Types**: just common patterns on the **Turing Tape**.
    - **Variables**: places on **Turing Tape**.
    - **Operations**: it's what happens when the **Clock** ticks with read-write places.
    - **Processes**: it's the physical **Clocks** that make operations happen - the Turing Machine's motors and read/write head.
    - **Functions**: it's 'function' **type** of **variables** that store values as possible **operations** to execute.
    
    It's not hard to see how everything what computer does, clearly breaks down to these things. I would be interested in learning how computer is built entirely out of NAND gates, or how brain is built entirely out of asynchronous neurons, and what insights can we get from the understanding of how these low-level things becomes these 6 concepts, cause I do see these same [concepts](https://0oo.li/method/923/supercategories-for-public-intelligence-standardization) running societies. Perhaps understanding how information processes become these 6 things, would be help to come up with something (like a form of organization) that's fundamentally new. There are more abstract things, like the [equation model](https://0oo.li/method/936/operation-search-equations), and even more abstract thing like [polycontext metasymbol](https://0oo.li/method/863/metaformat). Is there something like universal additivity, and how can it converge towards the universal good?
    
    It's interesting to observe, that `Categories` and `Types` are `Questions`, `Quests` and `Queries`... coincide with `Goals`, `Intents`, `Problems`, `Domains`, `Interests`. It means that [Queries are Categories](https://twitter.com/mindeyi/status/1373851121261940737): every search query is a category.
  "owner": "Mindey"
  "ownerlink": "/user/147/Mindey"
  "permalink": "/method/1041/?l=lt#a-11001"
  "created": "2021-03-22T08:03:01.416762"
- "id": "a-147001"
  "mtrans": |

    Manau, svarbu pažymėti, kad tipai, kintamieji, klasės, metodai, tipo klasės yra tik sintaksinis cukrus, kurį naudoja kompiliatorius. Taigi jų iš tikrųjų nėra kompiuterio kode.
    
    Galiausiai kompiliatorius sukuria instrukcijų seką. Nėra nurodymų kintamajam, metodui ar tipui.
    
    Kompiliatoriaus abstrakcijos neskaičiuoja! Manau, kad dalis kompiuterių nesuderinamumo yra tai, kad tai yra apgailėtinas apribojimas. Svarbu yra duomenų struktūra ir laukai, kurie yra bendrai naudojami. Tai daro kodą suderinamą.
    
    Sudarysiu nesuderinamo kompiuterio kodo kategoriją.

  "text": |
    I think it is important to note that types, variables, classes, methods, typeclasses are just syntactic sugar used by the compiler. As such they dont actually exist in computer code.
    
    Ultimately what gets generated by the compiler is a sequence of instructions. There is no instruction for a variable or a method or a type.
    
    Compiler abstractions result in no computation! I think part of why computers are so incompatible is that this is an unfortunate limitation. What matters is the data structure and fields that are shared between implementations. This is what makes code compatible.
    
    I will make a category for incompatible computer code.
  "owner": "chronological"
  "ownerlink": "/user/198/chronological"
  "permalink": "/method/1041/?l=lt#a-147001"
  "created": "2021-09-04T10:39:16.482555"
"base:js": "/static/js/base.c7357c06cc89.js"
