Domain /Field of knowledge
|
Analysis /operation
|
Conventional approach.
Social sciences.
Academic consensus.
|
Advanced/Sophisticated.
Arc of Essentials
Body of Knowledge
|
Subtotals
|
Totals
|
1 - Use of language
|
Language analysis
|
Structure of language
|
| |
|
Syntaxis:
| Ill-formed
(Deletions, disorder/ fragmentation, overlaps)
≅ 0.6
| Wellformed
(Complete, sound, coherent, delimited)
≅ 0.8 |
((1 -0.6 ) /0.8 =)
50% |
|
|
Semantics:
|
Insufficiently interpretable
(Diffuse reference, qualification, manipulated meaning)
≅ 0.6
|
Reference-decidable
(Sensory /descriptive, sharp reference, stable denotations)
≅ 0.8 |
((1 -0.6 ) /0.8 =)
50% |
|
Combined
(chain-inference)
| |
|
(0.5 *0.5 =) 25%
|
2 - Inference
|
Logic
Logical formalization, valuation. |
Consistency, validity, reduction, decidability. |
|
|
'Dichotomous' logic: Conjunctive/exponential: |
Formal logic: Disjunctive/hyper-exponential: |
Decision time Complexity |
O(2 poly(n) ) |
O(2 (2 poly(n) )
) |
Combinatory explosion |
=EXPTIME |
=2-EXPTIME |
|
n =2 :
| 4
| 16
|
(4 /16 =) ______25.000%
|
|
|
n =3 :
| 8
| 256
|
(8 /256 =) _______3.125%
|
|
|
n =4 :
| 16
| 65536
|
(16 /65536 =) ____0.024414%
|
|
'Average' ≅
| |
|
|
(8 /256 = 1 /32 =) 3.125%
|
3 - Cause-effectrelations
|
Statistical-causal analysis
|
Minimum proportion of variance explained required for reliable prediction by correlation measured
( =0.05). |
|
|
|
Induction: Sample
(N=100) | '
Significance'
(1 -0.000095 =) 0.999905
|
| |
|
|
Prediction
: Population to new sample avarage
(Extrapolation)
|
| Predictive power
(decile =0.1)
(1 -0.995898 =)
____0.004102
|
(1 /__243.783520 =)
____0.410200%
|
|
|
Deduction
: Population to Individual
('N=1' prediction)
|
| Individual
(decile =0.1, ε =0.05)
(1 -0.999711 =)
____0.000288
|
(1 /___14.193771 =) ____7.045343%
|
|
Combined (Chain-inference)
| |
|
(1 /_3460.207612 =) ____0.028899%
|
|
Logical-causal analysis
|
Causale hypothese: Observatie naar theorie.
Conditional probabilities of causal variants contingent under correlation measured.
|
|
|
|
Disjunct effect:
|
(1 -0.875 =) 0.125
|
(1 -0 =) 1
|
(1 /8 =) ______12.500%
|
|
|
Common cause:
|
(1 -0.75 =) 0.25
|
(1 -0 =) 1
|
(1 /4 =) ______25.000%
|
|
|
Disjunct-conjunct complex cause:
|
(1 -0.8125 =) 0.1875
|
(1 -0 =) 1
|
(1 /5.333333 =) ______18.750%
|
|
|
Intermediating disjunct cause:
|
(1 -0.75 =) 0.25
|
(1 -0 =) 1
|
(1 /4 =) ______25.000%
|
|
Combined
contingency
|
(1 -0.90625 =) 0.09375
|
(1 -0 =) 1
|
(1 /10.666666 =) _______9.375%
|
|
Causal inference
(overall)
|
|
|
(____0.000288
*____0.093750 =) ____0.002709%
|
4 - Judgement about people
|
Psychology
|
Deterministic- fysicalistic model ('bio-robot model')
|
Integrated holistic model
|
|
|
|
Factor model complexity: ≅
| Four factor model
(stimulus, nature, nurture, response)
≅ 4 |
Ten Factor Model
(stimulus, genetics, perception, body state, memory, processing,
consciousness, emotion, choice, response)
≅ 10 |
| |
Average ≅ |
|
|
(4 /10 =) 40% |
Totals
(product) ≅
|
|
|
|
(1 /______11810841.245 =)
_______0.000008466% |