Untimely #13 - Kevin's Exclusive Including Machine and Question Personaliser

Objective:

The objective of the following process is to enable all individuals to personalise any question asked of them via the enacting of a simple sequence of 5 steps. The following process will be carried out under test conditions employing the given test questions and the test Personalised Name Determinant SAMUEL CHARLES BUTLER

Equipment:

• Questions for Personalisation
• Dictionary
• Personalised Name Determinant
• Alphabet

For the following process the following terms will apply:

Input Question 1 = "What might inclusion mean?"

Input Question 2 = "How can we break down social barriers?"

Input Question 3 = "What might inhibit inclusion?"

Input Question 4 = "How does your practice enhance social inclusion?"

Methodology:

STEP 1: Identify question field for personalisation and objects for personalisation within given field.

e.g.

Verbs or Nouns

i.e.

Active Verbs:

Input Question 1 = Object for personalisation 1 = "mean"

Input Question 2 = Object for personalisation 2 = "break"

Input Question 3 = Object for personalisation 3 = "inhibit"

Input Question 4 = Object for personalisation 4 = "enhance"

STEP 2: Quantify total objects within question field for personalisation to determine personalisation vectors.

e.g.

mean +

break +

inhibit +

enhance = 4

STEP 3: Determine personalisation vectors per input question via Personalised Name Determinant based nominal conversion of total objects for personalisation.

e.g.

Total objects for personalisation  ==> Personalised Name Determinant based nominal conversion ==> personalisation vectors

i.e.

4 ==> (First 4 letters of SAMUEL CHARLES BUTLER) ==> S.A.M.U.

:. 1=S, 2=A, 3=M, 4=U

STEP 4: Convert personalisation vectors into numerical operators via alphanumerical matrix.

e.g.

Numerical Operator 1 = S=19

Numerical Operator 2 = A=1

Numerical Operator 3 = M=13

Numerical Operator 4 = U=21

STEP 5: Input objects for personalisation into dictionary based personalisation logarithm subject to numerical operators to determine personalised question field varient.

e.g.1

Object for personalisation 1 = "mean"

Numerical operator 1 = S = 19

:. 19th verb succeeding "mean" = "mesh"

:. Personalised question field variant 1 = "mesh"

:. Input question 1 = Output question 1 = What might inclusion mesh?

e.g.2

Object for personalisation 1 = "break"

Numerical operator 1 = A = 1

:. 1st verb succeeding "break" = "breakfast"

:. Personalised question field variant 2 = "breakfast"

:. Input question 2 = Output question 2 = How can we breakfast down social barriers?

e.g.3

Object for personalisation 3 = "inhibit"

Numerical operator 3 = M = 13

:. 13th verb succeeding "inhibit" = "insert"

:. Personalised question field variant 3 = "insert"

:. Input question 3 = Output question 3 = What might insert inclusion?

e.g.4

Object for personalisation 4 = "enhance"

Numerical operator 4 = U = 21

:. 21st verb succeeding "enhance" = "ensnare"

:. Personalised question field variant 4 = "ensnare"

:. Input question 1 = Output question 1 = How does your practice ensnare social inclusion?

Results:

Personalised Output Question 1 = What might inclusion mesh?

Personalised Output Question 2 = How can we breakfast down social barriers?

Personalised Output Question 3 = What might insert inclusion?

Personalised Output Question 4 = How does your practice ensnare social inclusion?