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-effect relations
|
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%
|