SLIDE 4 Approaches Considered
2 = * ;
Random Sampling
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.
Knowledgbsued system8 (& mlaM)
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be
MO
mllmly
be comblned
WWh O l h W
apprOaChM pmdlst.ble ll N I
simple, Whlb MM zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
Of zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
S M n g
UP
falls rapldly
M rub8 become
mom COmplW
F q
Loglc- NIW
am gonerdly elmplar but mom
powMlul th.n @Se, made some experlma In
cholw
m a
can hdp h l m m
In
twaLlng SCMUIO~
.
CubBu.d Fmasonlng -
full
sy.1.ma can b t l m e
conaumlng to set up and have overhaad zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
ahnplu wrsbna may be useful for Rmgnlalng when scr1pt.d went. u m
P
E
Approaches Consldered (2)
nnlm
S m M.chlMe - commonly
uwd
In computer games, elmple
lo zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
snl up. u n
go1 pndktsble
(or p1ay.r
F q
8uQ Machl-
f l n b
Stale
Machlnaa urlng zyxwvutsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA
funy NIM, h m l n g
popululn computer gMM. memb.nhlp funcllone could be wed for nndom aampllng
fauora on bhavlour, can b. drmcult to ml up,
dlMcully
d valldallon
mp"tatlon but Ums consuming and dllRcult to 9.1 up and vdldam Intemdive almulsllon B a y ~ l m
Bsll.1 W o r k s
mpnamtatlon
Neural Natworke (varlow h/pw) - md.ptln, p
1 I ~ l Q e d c
Algorkhmr -
adaptlw but too SIW
(or
Short-llsted Approaches
2 " CI Finite State Machine (FSM)
. 1 .
gensrlc FSM obJset to which "
t u and hnamons smsdded
3