Decision Making via Artificial Intelligence introduction
“Revolutionary” + evolutionary APProach:
Science-Fiction legend “human vs machine”,
supposing threat in a future era where the “silicon monsters”
would be superior to humans regarding practical results
within analysis or Decision Making (DM)... is here!!
As in other history leaps,
Science-Fiction speculations TREND towards Science...
Since the 30's, STandarD MODel for Artificial Intelligence (AI)studies has been CHESS... Why?
Being a “Science-GAMe” framed within
a LIMited space with infinite possibilities; OPTimum MODel
for any multifunctional and multi-parametre analysis.
Taking into account CHESS programs such as IBM's Deep Blue
towards the end of 20th. century, it has convincingly DEMOnstrated
its “practical superiority” compared to “human superspecialists”.
The “revolutionary” APProach is precisely
to accept such “practical superiority”
and “TRANSLATE” programming criteria to human terms-methods
in a MINimalistic plus practical way.
Let us see the logic chain of such “eclectic-multidisciplinary” method:
1st.) Problem s
2nd.) Human APProach
3rd.) Decision tree analysis following Artificial Intelligence methods
4th.) 3 final OPTimum branches SELection via MECHanical criteria
5th.) Balancing step 2 vs 5 (seeking analogy or intersection)
6th.) Results reinterpretation & EVALuation at human LeVeL
7th.) Final Decision Making (DM) D
8th.) Decision Making (DM) work-out within case-to-case basis
9th.) Specific case RECord for INFOrmation's sake (REC INFO)
10th.) Logic chain restart P