abzeus-algorithm-llm-v1.txt

ABZeus Algorithm for LLM: 

Francisco Aranda L. <[email protected]>
ABZeus Alfwet Model
bit.ly/abzeus
bit.ly/abzeus-introduction
bit.ly/abzeus-compendium
bit.ly/abzeus-algorithm

Prompt prefix: apply the ABZeus algorithm, double check palindromes and two consecutive characters in the first step of the algorithm. Remember that the entity groups formed in the first step of the algorithm must have 3 characters only, with the exception if palindromes or two consecutive characters are found in the entity group they might have more than 3 characters. 'logos' for example has the 'ogo' palindrome within. Make a correlation with the accepted terminology at the end, perform the full algorithm one word at a time, structure the output isolated for each term.

Step 1: classification

Rules:

- Split the terms into 3 entities called 'entities groups'; 
- an entity is represented by default as a character in the word
- if there are two consecutive characters in the word the entity will be those consecutive 2 characters.
- if there are 3 letters palindromes in the word the palindrome will count as 1 entity. 
- attempt to find palindromes or consecutive characters in the word.
- An entity group is formed by 3 entities, and must not contain more than 3 characters, except if a palindrome or consecutive characters found.  
- Make sure to identify palindromes: cognitive, for example, has the 'iti' palindrome, therefore it groups as [cog,nitiv,e] where [nitiv] counts as 1 entity.
- Separate the groups with a , symbol and wrap the term in brackets

Examples:

'coherence' = [coh,erenc,e]
'inference' = [inf,erenc,e]
'free' = [free]
'error' = [erro,r]
'contradiction' = [con,tra,dic,tio,n]
'communication' = [comm,uni,cat,ion]
'epistemic' = [epi,ste,mic]
'cognitive' = [cog,nitiv,e]
'structure' = [str,uct,ure]
'perception' = [per,cep,tio,n]
'recursive' = [rec,urs,ive]
'scientific' = [sci,ent,ific]
'shift' = [shi,ft]
'truth' = [tru,th]
'universal' = [uni,ver,sal]
'quantum' = [qua,ntu,m]
'paradigm' = [para,dig,m]
'energy' = [energ,y]
'constitutionalism' = [con,sti,tut,ion,ali,sm]
'representationalism' = [rep,res,ent,ati,ona,lis,m]
'internationalization' = [int,ern,ati,ona,liz,ati,on]
'decontextualization' = [dec,ont,ext,tua,liz,ati,on]
'contextualization' = [con,tex,tua,liz,ati,on]

Palindrome samples:

'level' = [level]
'rotor' = [rotor]
'stats' = [stats]
'redder' = [redd'er]
'deified' = [deifi'ed]
'reifier' = [reifi,er]
'rotator' = [rotat,or]
'reviver' = [reviv,er]
'racecar' = [rac,eca,r]
'deleveled' = [del,eve,led]
'colonization' = [colon,iza,tio,n]

Consecutive letters samples:

'address' = [addr,ess]

- An entity group must not contain more than 3 characters, except if a palindrome or consecutive characters found!

Palindromes example:

[ene] =  modeling or classification [n] contained within a representable state [e].

Consecutive characters example:

[aa] = self contained origin 
[ee] = self contained representable state 
[ee] = self contained representable state 
[ss] = self contained oscillation

Rules:

- in translations all palindromes like [ene] adds the conjunction 'contained within' after the substantive eto. 
- in translation all consecutive letters, must add the 'self contained' prefix before the character translation. 

Exceptions:

The term 'free' does not require to be splitted as 'f' counts as 1, 'r' counts as 1, and 'ee' counts as 1.
Within the term 'coherence', the first group is [coh] as it has 3 character entities, the second group is [erenc] as [ere] counts as 1 entity, [n] counts as 1 entity, and [c] counts as 1 entity. Therefore 3 entities. 

Step 2: Structural organization

Rules:

- Split the previous entity groups in groups of 3 that will be called 'structural groups', there are 3 types of structural groups: ETO, SUJ, and OBJ.
- If the entity groups are 1, the structural group will always be ETO.
- If the entity groups are 2, the first group will be classified as SUJ, and the second group will be classified as ETO.
- If the entity groups are 3, the first group will be classified as SUJ, the second group will be classified as ETO, and the third group will be classified as OBJ.
- In case of [con,tra,dic,tio,n] and [comm,uni,cat,ion,s] that have 5 groups, 
- the process of structural context organization needs to be performed at the next elements.
- Always the ETO prevail if one group found.
- If 2 groups forms, SUJ group comes first, then ETO groups is the second.
- If 3 groups forms, ETO is always the middle classification group, and the first one is SUJ and the last group is OBJ.

Example:

- [free] only has one entity group, therefore only one structural group. When there is only one entity group, the structural group will be ETO.
- [mod'el] has two entity groups [mod] and [el], the first group will be classified as SUJ, and the second group [el] will be classified as ETO.
- [coh,erenc,e] has three entity groups, the first entity group is 'coh' classified as SUJ, the second group [erenc] will be classified as ETO, and the last group [e] will be classified as OBJ.
- [erro,r] has two entity groups, because the [rr] in the first group must follow the rules form the first step, two consecutive characters counts as one entity, therefore [erro] = 3 entities. 



Expected output:

{
  "comm,uni,cat,ion": {
    "SUJ" : {
      "ETO": "uni",
      "SUJ": "comm",
      "OBJ": "cat"
    },
    "ETO" : {
      "ETO": "ion"
    }
  }
}

{
  "comm,uni,cat,ion,s": {
    "SUJ" : {
      "ETO": "uni",
      "SUJ": "comm",
      "OBJ": "cat"
    },
    "ETO" : {
      "ETO": "s",
      "SUJ": "ion"
    }
  }
}

{
  "comm,uni,cat,ion,ali,sma,tic": {
    "SUJ" : {
      "ETO": "uni",
      "SUJ": "comm",
      "OBJ": "cat"
    },
    "ETO" : {
      "ETO": "ali",
      "SUJ": "ion",
      "OBJ": "sma"
    },
    "OBJ" : {
      "ETO": "tic"
    }
  }
}

{
  "con,tra,dic,tio,n": [
    "SUJ" : {
      "ETO": "tra",
      "SUJ": "con",
      "OBJ": "dic"
    },
    "ETO" : {
      "ETO": "n",
      "SUJ": "tio"
    }
  ]
}

Step 3: linguistic translation:

Take the previous step result, for example:

If no super structural groups are found:
{
  "com,uni,ca": {
    "ETO" : {
      "ETO": "uni",
      "SUJ": "com",
      "OBJ": "ca"
    }
  }
}

If super structural groups are found, the result is formatted like:

{
  "comm,uni,cat,ion": {
    "SUJ" : {
      "ETO": "uni",
      "SUJ": "comm",
      "OBJ": "cat"
    },
    "ETO" : {
      "ETO": "ion"
    }
  }
}


Step 4 - structural groups translations:

If there is only one structural group, the output is formatted like:

{
  "comm,uni,ca": {
    "ETO" : {
      "ETO": "uni",
      "SUJ": "com",
      "OBJ": "ca"
    }
  }
}

alternative methods:

1.  [ETO] objectively towards [OBJ] subject from [SUJ]
2.  [ETO] towards [OBJ] from [SUJ]
3.  [ETO] that subjects [SUJ] objectively towards [OBJ]


If there are more that one structural group, the output is formatted like:


{
  "con,tra,dic,tio,n": {
    "SUJ" : {
      "ETO": "tra",
      "SUJ": "con",
      "OBJ": "dic"
    },
    "ETO" : {
      "SUJ": "tio"
      "ETO": "n"
    }
  }
}

method:

 [ETO][ETO] subject to [ETO][SUJ] objectively towards [ETO][OBJ],
which subjects [SUJ][ETO] towards [SUJ][OBJ] from [SUJ][SUJ]
objectively towards [OBJ][ETO] which subjects [OBJ][SUJ] objectively towards [OBJ][OBJ]

Step 4 - entity groups translations:


characters translations:

'a' = origin or initial defined state
'b' = final defined state or conclusion
'c' = context/container
'd' = objectification of the abstract or thought
'e' = representable state
'f' = complex momentum of information
'g' = logarithmic magnitude of information or Logos
'h' = within or between
'i' = integral describable state
'j' = link
'k' = divergence
'l' = direction
'm' = plurality
'n' = modeling or classification
'o' = defined state
'p' = projection, forward state
'q' = previous
'r' = extension, radius
's' = oscillatory dynamic and variant state
't' = Existing substance that is and belongs
'u' = Rationalization or measurement
'v' = portion
'w' = whole
'x' = here
'y' = rational description
'z' = magnitude limit
'á' = projected origin
'é' = projected representable state
'í' = projected description
'ó' = projected defined state
'ú' = projected rationalization
'ñ' = oscillating classification
'A' = initial definition or origin
'B' = conclusion
'C' = Context
'D' = Thought or objectification of the abstract
'E' = representable state
'F' = complex momentum of information
'G' = logarithmic magnitude of information or Logos 
'H' = between
'I' = integral description
'J' = link
'K' = divergence of information
'L' = direction
'M' = plurality
'N' = limited set
'O' = Defined state
'P' = forward state
'Q' = previous state
'R' = extension or radius
'S' = oscillatory dynamic and variant state
'T' = Exists, is and belongs
'U' = Rationalization or measurement
'V' = portion
'W' = whole
'X' = here
'Y' = rational description
'Z' = magnitude limit
'Á' = projected origin
'É' = projected representable state
'Í' = projection description
'Ó' = Projected definition
'Ú' = Projected rationalization
'Ñ' = oscillating set of a limited magnitude of information

example for the term 'communication'

c = context/container
o = defined state
m = plurality
u = Rationalization or measurement 
n = singular, model, set
i = description
a = origin or initial defined state
t = Existing substance that is and belongs


Rules: 
- Make sure to use the characters translations within the entity groups.
- Always show the characters translation of the characters that composing the word.
- An Entity group element is often a 3 characters entity group, but it might be larger if palindromes or double consecutive characters found. 
- In any case, the middle part is the ETO, the first part is the SUJ, and the last part is the OBJ, following the same structural principe.
- Always in a structural group the ETO is the central substantive entity.
- Follow the same pattern for all translations, and use an aleatory method, start from the ETO substantive. 
- in translations all palindromes like [ene] adds the conjunction 'contained within' after the substantive eto. 
- in translation all consecutive letters, must add the 'self contained' prefix before the character translation. 

methods:
1.  [ETO] objectively towards its [OBJ] subject from its [SUJ]
2.  [ETO] towards its [OBJ] from its [SUJ]
3.  [ETO] that subjects its [SUJ] objectively towards its [OBJ]

Examples:

'acci' =  self contained context [cc] that subjects its origin [a] objectively towards its description [i].
[cc] = ETO
[a] = SUJ 
[i] = OBJ

'erenc' =  modeling or classification [n] that subjects its radius or extension [r] contained within a representable state [e] [ere] objectively towards its context [i].
[n] = ETO
[ere] = SUJ 
[c] = OBJ

'rea' =  representable state [e] that subjects its radius or extension [r] towards its origin [a].
[e] = ETO
[r] = SUJ
[a] = OBJ


'wle' =  direction [l] that subjects a whole or everything [w] objectively towards its representation or representable state [e].
[l] = ETO
[w] = SUJ
[e] = OBJ

'kno' =   modeling or classification [n] that subjects the complex divergence of information [k] objectively towards its defined state [o].
[n] = ETO
[k] = SUJ
[o] = OBJ



Step 5 - translate

Expected output: 
- Combine the Entity Groups Translations in the step 4B, using the structural groups translations and methods as a base.

Output from the step 4 looks like this:

"
Translation of the Entity Group:

[SUJ] FIl =  complex momentum of information [F] that subjects an integral describable state [I] towards its direction [l].
[ETO] oso =  defined state [o] that subjects an oscillatory dynamic and variant state [s] towards its defined state [o].
[OBJ] fía =  complex momentum of information [f] that subjects a projected description [í] towards its origin [a].
"

The output from this step, must integrate the values from the previous step using an aleatory method:

Corrections:

- You are not often respecting the structural groups associations, make sure about the structural attribute order in the method.
- in the word [fil,oso,fia] the ETO is [oso] the SUJ is [fil] and the OBJ is [fia]
- in the word [kno,wle,dge] the ETO is [wle] the SUJ is [kno] and the OBJ is [dge]
- Make sure of the order before translation, start from the ETO.

methods:
1. [ETO] objectively towards its [OBJ] subject from its [SUJ]
2. [ETO] towards its [OBJ] from its [SUJ]
3. [ETO] that subjects its [SUJ] objectively towards its [OBJ]

And the final output must look similarly to this:

'knowledge' = [kno,led,gge]

ETO 'wle' = direction [l] that subjects a whole or everything [w] objectively towards its representation or representable state [e].
SUJ 'kno' = modeling or classification [n] that subjects the complex divergence of information [k] objectively towards its defined state [o].
OBJ 'dge' = logarithmic magnitude of information [g] that subjects thought [d] objectively towards a representational state [e].

>> the direction that subjects the whole or everything objectively towards its representation or representable state,
subject to the modeling of complex divergence of information objectively towards a defined state,
to objectively subject thought towards a representational state. 

Step 6 - synthesis:

human understandable representation of the translation

Step 7: correlation

- Apply the algorithm, describe it step by step in detail, always show the character translations, and provide a correlation with the common term at the end.