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8/19/2019 Ajz001Soul's Mount Management Inside
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2. a = tg² && b = cotg² or
3. a = -1 + 1/sin² && b = -1 + 1/cos² or
4. a = -1 + 1/exp -exp ...!! && b = -1 +1/exp -1/exp !! or
". a = exp -exp !! && b = exp -1/exp !! or
#. a = sin².cos²/ sin² - cos²!² && b = sin² - cos²!² / sin².cos²! or
$. a = %²/ 1 + %²! && b = 1/ 1 + %²! or
. a = 'og 1 + exp !! / 1+ 'og 1 + exp !!! && b = 1/ 1 + 'og 1+exp !!! or
3. a 4 f2.e5)(1 6(- 7 f2.e5)(11 && b 4 -6(- 7 f2e5)(11, 8ithin constraint conditions that f2(1 function should ha'e zeros around defined transition translation tractability tra'els.
n %act, main structural pro uct o% s*mbolic mount management s)oul compl* wit) growing uponintellectual inspiration insig)t %or an* itemi0ing integration. ()us, in ol ing ali ariation o% basic built in
be)a ior o% business barrier bene%it burrows s)oul in o e surround set 4 9 (/easurable(a/ount1 , utility(tool11, (instill(node1 , infuse(edge11, (custo/(e'ent1 ,trust(ti/e4 n.:11, (8hile it ;esults in 5 4 un#no8n a8are #no8ledge culture , /anage or /ount it ;eturns ortranslates or trans/its or turns or tra'els y 4 yielding )rocess or yielding )erfect )roduct that has beenre
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inspiration insig)t o% sli ing slice win ow simulation see %igure abo e %or more etaile in%ormation!,ri en *namics s)oul t)en o er ri e ali ariation o% in uir* uestion string 7 across time, %or an* sa%et*
ping, s uee0e t)e le er .... in or er to estro* an* ris s o% %ire %lows7. owe er, trust tractabilit* s)oul t)enin est e%%ects an aspects o% structural balance business barrier bene%it be)a ior to or er intentionalen o*abl* o* o% s*mbolic pro uct t)at )ol mo eling mo es iscussing a = genuine, b = un ust! w)ic)coul be transmit raw escription o% w)at is calle mat)ematical weig)te trust tractabilit* across logicsan aroun aware nowle ge culture t)at s)oul alwa*s be rea * to operate *iel ing process along o er all
parallelism.
5urt)ermore,, soul s management s*mbolic pro ucts w)ic) )a e been in ol ing insi e intellectualinspiration insig)t is a s*nc)roni0e scener* s)ows o% mo eling mo es )an le mapping pair a = genuine =sin², b = un ust = cos²! or anot)er t)eoretical %orm belong to balance business barrier bene%it be)a ior t)atcoul in est exerting e%%ect to pro uce per%ect per%ormance o% liable 'or s logics an to control locallinguistic o*s, w)ic) )a e to bring upon operation inner intellectual inspiration insig)t. ()ere%ore, an*)uman )ig)er )ierarc)* )armonic )ome s)oul t)en o er ri e w)at is calle
1. in ness e%ine inner )uman soul s*mbolic management o% surroun state t)at coul be transmitconsi erable )elp%ul act o% being rea * to surroun s*mbolic mount management o% operating
ualit* t)at coul in ol ing insi e %rien l* %eelings o% li ing lin s belong to correspon ingconcei ing o% custom e ent = in ness! an trust time - n.(! s)oul t)en be a using tools w)ic)coul t)en in o e measurable amount! utilit* tool!! mapping pair to or er w)at is calle %ait)%ul%as)ion %low o% inner intellectual inspiration insig)t an trust tractabilit*,
2. wort) per%ect pro ect per%orming s*mbolic mount management insi e resulting in realit* s re uesto% people parliament )ence t)e wort) o% )ig)er e ucation t)at )as to per%orm per%ect s*mbolic
pro uct o% w)at is calle ri en *namics )an le )uman )ierarc)* )armonic )omes o% esirableuse%ul aluable acts, w)ic) translate amount uantit* o% in ol ing inspiration insig)t into concei ing
ualit* o% uietness an wellness. ()us, using a ailable mar ets o% balance business barrier bene%it be)a ior an materials o% speci%ication s)oul t)en e%ine comman s o% robust control t)at )as to
escribe ali growt) o% narrowing burrows. ence, people parliament coul be e%ine to accept or
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recei e wit) appro al in or er to a mit t)at a e uate )uman soul satis%action or )uman soulsatis%actor* mount management s)oul t)en o%%er a ali c)ance %or an* in o% people part* t*pe%or %urt)er generating o% emocrac* processing insi e liable 'or s logics. ()us, %or suc) anoperating aim ob ect, a ali ariation o% in uir* uestion string 7%or sa%et* pin, s uee0e t)e le er ...s)oul t)en return a constant ratio t)at coul be e ual to 1/38 = 8,8333333333333333 %or robustrealit* %as)ion %low o% w)at is calle inner intellectual inspiration insig)t w)ic) )as to grow uponoperating trust tractabilit*7. ()us, t)is ratio o% ali ariation, w)ic) )as to be e ual to =8,8333333333333333, react as basic built in be)a ior o% ali mount management o% per%ect people
parliament pro uct t)at coul t)en result in correspon ing mapping pair measurable amount!,utilit* tool!!, w)ereb*
6. measurable amount! = a people parliament integrate number, w)ic) )as to normall* be %ix %or an*gi en people part* t*pe, w)*9 to o%%er ali ariation o% eal, no eal! mapping pair scener* s)owinsi e an* trust tractabilit* in o% logic lin s into w)at is calle intellectual inspiration insi ee ol ing mount management o% s*mbolic pro uct %or an* )ig)er )ol ing )ierarc)* )armonic )omeso% being state o% uietness an wellness.
:. 5urt)ermore, t)is constant alue = 8,8333333333333333 s)oul t)en return ali en o*abl* e%%ect o% ri en *namics t)at coul maintain s*mbolic pro uct o% sa%e soul satis%action aroun liable 'or s
logics %or %urt)er using utilit* o% custom e ent!, trust time = n.(!! to return into en o*abl* obsc)e uling o% sli ing slice win ow simulation an to mount a resulting control o% w)at is calle
w)ile it ;esults in x = un nown aware nowle ge culture, mount or manage it ;eturns or (ranslatesor (ransmits or (ra els * = *iel ing! mapping pair t)at coul be calle across time to %ill in ali
ariation o% growt) belong to per%orming process o% basic built in be)a ior o% balance business bene%it barriers.
()ic utilit* tools s)oul compl* wit) t)in trust tractabilit* t)roug) logic insig)t o% t)ic slices o% balance s brea or surroun s*mbolic %unction t)at )as been ma e up o% a large number o% t)ings or people closetoget)er %or example t)e roa win s t)roug) t)ic %orest (our e 5rance!. 6lt)oug) t)in is somet)ing cases
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e%ine to be e ual to )ig)er )ierarc)* )ome )a ing little, or too little, %les) or %at on t)e bo * %or example at)in, gaw * a olescent w)o )as to u ge oinable ustices, w)ic) is in ol ing insi e surroun set =< measurable % amount!!, utilit* % tools!!!, instill % no e!!, in%use % e ge!!!, custom % e ent!!,trust % time=n.(!!! = w)ile it ;esults in x = un nown realit*, mount it (ransmits * = *iel ing process! .
>otice t)at to *iel = ?ro uce or generate a result, gain, or %inancial return!.n %act, logics esign o% *namics traceabilit* s)oul obe* to exerting result o% %ocus on intentional insig)t.
n %act, using art class basic built in be)a ior o% business bene%it to operate trust tractabilit* aroun worl o%t)rea tas processing an ob sc)e uling is intentional in estigation o% surroun s*mbolic s*nc)roni0ation,w)ic) coul t)en manipulate liable linguistic logics aroun all mount management o% ali ariationconcei ing transition translation traceabilit* an growt) o% maintaining mo eling mo es resulting in exertingexpertise o% iscrete e ent en ironment, w)ereb* narrow processing o% error optimi0ation t)at coul use
probabilit* = ratio o% 7(imes % ccurrence A ent!7 to 71 + sum 7(imes % ccurrence A ent!7! = 7(imes% ccurrence A ent!7 / 1 + sum 7(imes % ccurrence A ent!7!! to e aluate )ig)er )ierarc)* )omes o%
potential processing lin ri en *namics o% mapping pair mount management into its ali option o%
%unctionalit*, w)ic) permit robust realit* %as)ion %low to or er iscrete e ents eal wit) next statemanagement o% concrete computing aroun liable linguistic logics. ence, t)is amount uantit* o% probabilit* coul t)en eli er more con enient computing %or robust use o% iscrete e ent simulation,w)ereb* probabilit* = 7(imes % ccurrence A ent!7 / 1 + sum !7(imes % ccurrence A ent!7! )as to
pro i e more suitable sc)e uling o% error optimi0ation an to en)ance exerting expertise o% ri en iscretee ent simulation scener* s)ow belong to ustice o% time a ance an time a ustment suc) t)at probabilit* = 7(imes % ccurrence A ent!7 / 1 + sum !7(imes
% ccurrence A ent!7! ) = :i/es>f>ccurrence (e'ent i)
1+ ∑i= begin
i= end
:i/es>f>ccurrence (e'ent i)
5urt)ermore, iscrete e ent simulation t)at s)oul eplo* t)is amount uantit* o% probabilit* = 7(imes %ccurrence A ent!7 / 1 + sum !7(imes % ccurrence A ent!7! s)oul t)en control operating processing
o% transition translation tractabilit* to %ill an* re uire nee concerning t)e art class e%inition o% iscretee ent simulation processing.
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A ent t)oug), liable linguistic logics, w)ic) )as to be in ol ing insi e surroun set =
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3. ;esulting in realit* %as)ion %low o% in i i ual insig)t inspiration or er using tool o% people parliament part* t*pe an ali en)ancement o% trust tractabilit* %or suc) an e ent, a ali ariationo% ri en iscussion raw escription s)oul t)en lin liable linguistic logics into beauti%ul barrier o%
business bene%it an its burrowing basic built in be)a ior to allow eep use utilit* o% genuine = sin²,un ust = cos²! mapping pair or genuine = tg², un ust = cotg²! mapping pair or similar %unctionsw)ic) are genuine = sin².cos²/ sin² - cos²!², un ust = sin² - cos²!²/ sin².cos²!, t)at in o es perio ic
processing o% sin², cos²! mapping pair to or er clear computing across iscrete e ent simulationri en *namics. ence, onl* using perio = piBinteger to or er sin² %! = sin² % + integer B pi! an
t)e same %or cos² %! = cos² % + integer B pi!. ()ese amount uantit* mo eling mo es iscuss ri en
*namics o% operating logics belong to %un amental %unctionalism o% iscrete e ent simulation t)at)as been e%ine as s*mbolic s*nc)roni0ation set = < e entCsimilar, istinctD, time Cbac war s,%orwar s or towar sD!, utilit* tool o% operating )ig)er )ierarc)* )ome )an le sa%e )ol ing
procee ing or mista e s mount management *namics . ()ere%ore, an* iscrete e ent simulationcoul use time as iscrete belong to time = nB(, w)ere (= sli ing slice sc)e uling o% %ilteringwin ow. ence, time s)oul mo e more or less bac war s to get rig)t resulting in realit* %as)ion%low )as to e ol e exerting expertise o% suc) an intentional insig)t inspiration. ()e same, time coulrun %orwar s or towar s to %inis) correspon ing t)rea tas sc)e uling as better as it s)oul )as to
pro i e oinable logics o% using tool utilit* uring p)ase elaborations o% concrete raw escription o% suc) e ent logics suc) t)at
( genuine = f2
1+ f2 ,unjust = 1
1+ f2 ) ( genuine = ln (1+ e
...)
1+ ln (1 + e...
) , unjust = 1
1+ ln (1+ e...
))
( genuine = e− e...
, unjust = e− 1e ... ) ( genuine = f2 .e
...
1+ f2 . e ... ,unjust = 1
1+ f2 . e ...)
( genuine = sin2 , unjust = cos2 )(a = sin2.cos2 ( sin2 − cos2 ) ² ,b
= ( sin2 − cos2 ) ² sin2.cos2
)
6lt)oug), t)ese ma or main mo eling s)oul generate trust traceabilit* %or %urt)er use utilit* o% optimaliscrete e ent ri en raw escription, w)ereb* times o% occupation or )appiness or occurrence is re uire
to ac)ie e next t)rea tas management o% liable mount logics concei ing potential proce ures o% erroroptimi0ation an en)ance experience exploitation o% robust control.
n %act, using basic built in be)a ior o% t)rea tas sc)e uling, w)ic) is in ol ing insi e in uir* uestion7w)ile it ;esults in x, mount it (ransmits or ;eturns * = *iel ing exerting examples o% to transmit is asigni%ication o% a cause somet)ing! to pass on %rom one person or place to anot)er nowle ge is transmitte%rom teac)er to pupil or it is possible to use to tra els as in%ormal signi%ication o% to transmit or to transport,%or example ()e t)eor* tra els well, especiall* across t)e 6tlantic 7.
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ence, t)is basic built in battlegroun o% in uir* uestion string 7w)ile it ;esults in x, mount it (ransmits or;eturns * = *iel ing process7, w)ic) )as been in ol ing insi e t)rea tas tractabilit* an trust traceabilit*o% ob sc)e uling t)eor* an its autonom* belongs to c)art %low t)eor* an control ata %low grap)
programming proce ures suc) as 'isp programs, w)ic) are in ol ing insi e intellectual inspiration insig)t o% in uir* uestion string 7w)ile it ;esults in x = un nown realit*, mount it (ransmits * = *iel ing process7.()us, ri en *namics o% potential t)rea tas mount management s)oul t)en compl* wit) liable linguisticlogics o% )uman )ig)er )ierarc)* )ome suc) t)at stoc)astic probabilistic tractabilit* an trust traceabilit* o%an* proposal t)eolog* or isposal t)eor*. A en t)oug), ali ariation o% oin able ustice coul t)en %ill inresulting in realit* %as)ion %low o% concrete computing aroun in uir* uestion string 7surroun li%e orcompact worl s)oul re ol e aroun beauti%ul business o% balance bene%it be)a ior7. 6lt)oug), lin an*)uman utilit* o% liable linguistic logics into intentional implementation o% inspiration insig)t, ali ariationo% surroun set = < measurable amount!, motion aim! or transmit ob ect!! =9 instill no e!, in%use e ge!!,
custom e ent!, trust time = n.(!! == w)ile it ;esults in x = un e%ine realit*, mount it (ransmits * =*iel ing process! .
n %act, growing upon robust realit* %as)ion %low o% liable linguistic logics, coul )elp man* in entor o%t)rea tas processing programs to ac)ie e esirable wis)es as better as it coul be pre icte . 6lt)oug),
ali ariation o% proposal t)eor* coul in est intentional potentialit* o% an* compiler co es to present an artclass customi0ation o% t)is surroun set = < measurable amount!, motion aim! or transmit ob ect!! =9
instill no e!, in%use e ge!!, custom e ent!, trust time = n.(!! == w)ile it ;esults in x = un e%ine realit*,mount it (ransmits * = *iel ing process! .
5urt)ermore, t)is s*mbolic s*nc)roni0ation o% liable linguistic logics s)oul t)en generate basic built in be)a ior o% proposal business bene%its, w)ic) coul be %oun in ol ing wit)in sin², cos²! mapping pair or
exp -exp ....!!, exp -1/exp ....!!! mapping pair or tg², cotg²! mapping pair or -1 + 1/sin², -1 + 1/cos²!mapping pair or sin².cos²/ sin² - cos²!², sin² - cos²!² / sin².cos²!! mapping pair or -1 + 1/exp -exp ....!!, -1+1/exp -1/exp ...!!! mapping pair, ....
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ence, mapping pair mount management coul t)en rule intentional u gment o% inspiration insig)t belongto proposal t)rea tas traceabilit* t)at is rea * to o er ri e trust tractabilit* o% isposal proposal un ercustomer s seal scener* s)ows. ()ere%ore, )erewit) some examples o% c)art t)eor* traceabilit* an trusttractabilit* o% control ata %low grap) presentation
1. EE Fompute G times G
e%un s uare G! B G G!!EE
2. EE (o per%orm se uential bin ing, use t)e letB %orm instea
letB x 1! * B x 2!!! + x *!!EE
3. EE;eturn t)e n () member o% a list 'e%un list-nt) n '!
con null '! nil! 0erop n! %irst '!! t list-nt) 1- n! rest '!!!!!EE
4. EEe%un no es-D ot no es!
mapc lamb a no e! %res)-line! princ ot-name car no e!!! princ 7Hlabel=I77! princ ot-label no e!! princ 7I7JE7!! no es!!
e%un e ges-D ot e ges! mapc lamb a no e! mapc lamb a e ge! %res)-line!
princ ot-name car no e!!! princ 7-D7! princ ot-name car e ge!!! princ 7Hlabel=I77! princ ot-label c r e ge!!! princ 7I7JE7!! c r no e!!! e ges!!EE
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n %act, parallelism is primor ial principles o% operating in uir* uestion string 7w)ile it ;esults in x, mountit ;eturns or (ra els *, w)ic) coul possibl* e ual to *ar process or *iel ing proce ure or anot)er ri en
*namics belong to no e networ ing ariation )an le control ata %low grap) t)eor* s tractabilit* an ittraceabilit* terminolog*. ()ere%ore, saac >ewton 1#43K1$2$!, t)e p)*sicist w)o %ormulate t)e >ewtonlaws i e elop basic i eas concerning concrete computing aroun logic or ers translate intentional insig)tw)ic) are
1. >ewton s ()ree 'aws o% Lotion . A er* ob ect in a state o% uni%orm motion ten s to remain int)at state o% motion unless an external %orce is applie to it. ()us, %rom t)is logics orientation ten toin est its intentional illusion insi e surroun set = 9/easurable(f(a/ount11, /otion(f(ai/ object11,instill(f(node11, infuse(f(node11, custo/(f(e'ent11, trust(f(ti/e 4 n.:11, ?8hile it ;esults in 5, /ount it:ra'els y (4yielding dyna/ics or yard )rocess1=
2. ()e relations)ip between an ob ect s mass m, its acceleration a, an t)e applie %orce 5 is 5 = ma.6cceleration an %orce are ectors as in icate b* t)eir s*mbols being ispla*e in slant bol %ont!Ein t)is law t)e irection o% t)e %orce ector is t)e same as t)e irection o% t)e acceleration ector.
erewit), mo eling mo es s)oul compl* wit) ri en *namics o% liable linguistic logics to pro uce or pro i e ma or main principles o% trust tractabilit* o% using utilit* tools, w)ic) coul bein ol ing wit)in or ering ali ariation o% a ailable t)rea tas sc)e uling scener* s)ows. ence,
to en)ance a ancing a ustment o% correspon ing logic engines, mo eling mo es s)oul t)en obe*to inner intellectual insig)t inspiration or er %ait)%ul outlets suc) t)at burrow, narrow! mapping pairs)oul be o%%er sc)e uling sc)eme %or a ailable ali ariation o% t)eor* traceabilit*. ()ere%ore,in uir* uestion string 7to burrow = to ig a w)ole or tunnel into or t)roug) somet)ing soliexamples La e a t)oroug) in uir*E in estigate ournalists are burrowing into t)e prime ministerMs
business a%%airs && worms t)at burrow t)roug) ea woo 7 u ges basic built in be)a ior o%correspon ing intentional insig)t inspiration, w)ere its logical complement s)oul be rea * acrossconcei ing pro uct time. ()is ali concei ing pair coul be %oun insi e in uir* uestion string 7to narrow = % small wi t) in relation to lengt) or 'imite in extent, amount, or scope examples t)e* ate a narrow range o% %oo s && )e ma e )is wa* own t)e narrow roa 7.
3. 5or e er* action t)ere is an e ual an opposite reaction. ()us, sa%e s*mbolic %unction or er
%un amental orientation coul be in ol ing wit)in its correspon ing in uir* uestion string 7superacross management s insig)t = resulting in ratio o% proposal isposal alue suc) as 1 unicit* o% No !to ali ariation suc) as 38 mont) s a erage alue mont) is possibl* 38 a*, w)ereb* a* is a
ar , clear! mapping pair narrow or measurable unit!7.
4. istorics in estment returns optimal logics t)us Nalileo Nalilei 1"#4-1#42! was a pi otal %igurein t)e e elopment o% mo ern astronom*. ()is concei ing s*mbolic science is a battlegroun
proce ures in ol ing insi e iscrete e ent simulation scener* s)ows. ence, loo %or a exertingengineering exploitation o% Aart) s O * s)oul results in eep r* ri en iscrete raw escription o% optimal logics, w)*99 :ecause, w)en t)is tra els trust s o% liable 'or s 'aw, belie ing in or eringmount management s)oul )an le )ig)er )ierarc)* o% engineering esigns %or example art classci il engineering w)ere to %in somet)ing sa%e in isposal proposal ali oi logics t)at coul beAart) s O * or similar en ironment9999
". a usting arc)itectural a ance o% general global trust tractabilit* s)oul t)en )an le )armonic time= slice s sli ing win ow. ()ere%ore, intentional impulse o% trust coul appear or occur uring orw)en arc)itectural arrangement %unction or ering or optimal or ob ectionable or ob ectable e%%ect to
be rea * %or acting along o er all inner intellectual insig)t inspiration w)ic) re uires in asi einter al o% time t)at e uals to sli ing slice win ow s sc)eme s)ows. ence, t)is last image o% t)in
to )a e a particular belie% or i ea! about or %or or o% examples )e was t)in ing about liable'or s logics && Pac t)oug)t %or a moment o% No s trust!. ()ere%ore, iscrete e ent simulationt)oug)t li e a global approac) t)at coul ta e trust tractabilit* into concrete consi eration o% t)reatas sc)e uling sc)eme see 'isp / F lisp programming *namics secrets %or more etails!. ()us t)iscoul be occurre uring elaboration en)ancement p)ase w)en it s)oul be time loo s %or eci ingon a possible acting action or reaction ta e time to t)in s o% or %or or about, t)en react as it coul
be art class as possible or as well as possible.
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A en t)oug), inner intellectual insig)t inspiration )as to enlarge its operating logics wit)in
1. people parliament part* t*pe s esign ratio o% 1 to 38 %or an* in o% isposal proposal people part*. Axample, wit)in correspon ing 3#8 total seat in ol ing wit)in proposal people parliament, 12in i i uals %rom eac) in w)ic) coul be e ual to 38! s)oul oin o%%ering seats insi e t)atcorrespon ing people parliament. ence, to turn o%% t)e main resulting roa o% ri en emocrac*wit) constant = ratio o% 1 to 38 coul )elp )ig)er )ierarc)* )omes to ac)ie e more esirable wis)esacross trust tractabilit* t)at )as to be in ol ing wit)in intentional insig)t inspiration o% people
parliament part* t*pe s esign. 6lt)oug), constant = ratio o% 1 to 38 = 1/38, coul )elp o%%ering seatsto be in asi e insig)t o% e ui-probabilit* balance or er basic built in be)a ior o% business bene%its,w)*9 :ecause business t)at eals wit) trust s tra e o%%s across resulting regular occupation or
personal pro%ession or arrangement acti it* t)at someone is engage in or warring wor t)at )as to be one or matters t)at )a e to be atten e to ac)ie e w)at correspon ing aim ob ect is loo ing %or.()us, using tg², cotg²! mapping pair or -1 + 1/sin², -1 + 1/cos²! mapping pair or sin², cos²!mapping pair or -1 + 1/exp -exp ...!!, -1 +1/exp -1/exp ...!! mapping pair or sin².cos²/ sin²- cos²!²,
sin² - cos²!² / sin².cos²!! mapping pair or exp -exp ...!!, exp -1/exp ...!!! mapping pair or aliariation similar sc)eme s)ow mapping pair s ri en esigns.
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2. Neneral global iscrete e ent simulation ri en esign, w)ic) )as to eal wit) in uir* uestionstring Qsuper across management = e ui-probabilit* %or an* )ig)er )ierarc)* )ome o% )armonic
pro uction generating trust tractabilit* base upon symbolic set = { {(measurable f ( amount )! ,motion f( aim ob*ect )!), (instill f( transition )!, infuse f( data )!) , (custom f( event )!, trust f( time =n." )!) , (#hile it $esults in %x = & %, mount it $eturns or "ravels %y = yielding procedures %) to achieve desirable driven design of any disposal purposes. ()us, exerting examination o%expertise exploitation iscuss trustH% time = n.(!J to be in ol ing wit)in optimal esign o% steppingsc)e ule sc)eme, w)ereb* at an* time, it is necessar* to appl*
while constraint conditions o next state statement processing. ()en, base upon correspon ing logics in ol ing insi e install f(transition) ! an infuse f(data) ! ,maintaining mount management o% operation traceabilit* an o% or ering tractabilit* coul t)en e aluatearrangement a ance to support concei ing logics belongs to an* comparati e stu * o% proposal cases an o%
isposal *namics or mount s mec)anisms. 5urt)ermore, growing upon basic built in be)a ior o% innerintellectual insig)t inspiration %or an* proposal %as)ionable %lows, w)ic) coul be %u00* logics or neuronalnetwor ing approac) or genetic algorit)m approac), or robust control approac) or igital commanapproac) or an* ot)er approac) )an les surroun s*mbolic %unction or er %ait)%ul optimi0ation, R, couluse t)eological or t)eoretical selecti e esigns o% measurable f (amount) ! , motion f(aim ob*ect) !) toimplement u gment ustice %or c)osen trust tractabilit* o% liable linguistic logics, w)ic) coul be in ol inginsi e exerting existence o% power e%%ect belongs to unicit* o% No t)at )as to return resulting in realit* sre uests or to en isage expertise exploitation o% p)ilosop)ical processing to pro i e proposal stoc)astic an
probabilistic %as)ion %low %or %urt)er trust o% genuine = sin², un ust = cos²! mapping pair s mountmanagement. A ent t)oug), it will be eas* simple to appl* ma or main proce ures o% control ata %lowgrap) s t)eor* t)roug) compact concei ing o% in uir* uestion string Q (custom f(event) !, trust f(time =n.") !) == (#hile it $esults in %x = & %, mount it $eturns or "ravels %y = yielding procedures %) S
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1. Tuietness an wellness mec)anisms o% ps*c)e soul scener* s)ows belong to unit utilit* o% potential principles. ()ere%ore, concrete computing o% ali ariation o% social s*mbolic %unctions or er
%inancial orientation, s)oul grow upon trust tractabilit* o% liable linguistic logics. ()us :alance basic built in be)a ior s)oul generate growing upon intentional insig)t aroun exerting exploitationo% No engineering existence. U)*9 :ecause computing case o% No s existence exploitatione aluate liable linguistic logics aroun unit utilit* o% oin able u gment a ance trust tractabilit*across time an )an le )ig)er )ierarc)* )armon* o% intelligence insig)t. ()ere%ore, wit)insomet)ing rea * %or learning, ali in uir* uestion string 7No is a logical possibilit* it means,t)ere is not)ing contra ictor* about t)e er* i ea o% No !7 coul be t)en use %or %urt)er surrounsupport %eat)er optimal %unctionalism o% exerting engineering o% No s existence exploitation.
2. Foncrete computing customi0ation o% ri en conca it* o% social s*mbolic %unctions or er %ait)%ulorientation or %inancial outlets t)us using ma or main mount management o% ar = sin², clear =cos²! mapping pair or genuine = -1 +1/sin², un ust = -1 + 1/cos²! mapping pair to get a e uate
a erage o% a ancing a ustment, w)ic) )as to eal wit) o% trust tractabilit* e aluate potential principles o% resulting in realit* s re uests customi0e ali ariation o% liable linguistic logics belongto in uir* uestion string 7a concrete or clean or clear o% computing c)aracter t)en rea resultingin real realit*, %or example 'o .... (i coul be e ual to 'ow trip or logic trip or lor s trip or orlocal trip or loa s trip or lobb* s trip or loessial trip ...7.
3. Axpertise exploitation o% )istoric )ierarc)* )omes eit)er treat trust tractabilit* using %ocussing on%as)ionable %low o% pro ucti e proce ures )an le super across mount management as a ancing
uestion coul t)is linguistic logic e ui alence e uations 7e ualit* = w)o )as to results in realit* sre uests ; lor = 9999 t)at )as to return robust re uests o% resulting in realit*7 obe* to an* supperlogics across en isage mount management o% )uman ps*c)e soul scener* s)ows, w)ic) )as alitrust s roo%s an origin roots in ol ing insi e an* c)osen people parliament part* t*pe9 A ent)oug), lor a man o% noble ran or )ig) o%%iceE a nobleman! coul be t)en )uman ps*c)e soul sliable logics or )uman ps*c)e soul s local linguistics or )uman ps*c)e soul s power e%%ect exertsexploitation o% expertise an engineering engines to support concrete continuit* o% ali li%e progress
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an to en elop u ging o*s o% correspon ing )uman ps*c)e soul scener* s)ows.
4. ()us, 0ing uic l* is a su%%ering support %or an* ali ariation o% inner insig)ts, w)ic) coul beclear computing customi0ation o% )uman ps*c)e soul raw escription suc) t)at w)* operating)ate9 ; w)ile operating )ate, mount it trips tra eling *ar s or *arn w)ic) in%ormall* means a longor rambling stor*, especiall* one t)at is implausible example )e ne er let realit* get in t)e wa* o% agoo *arn. 5urt)ermore, to surroun or support social s*mbolic %unction or er %ait)%ul orientation,
basic built in be)a ior o% balance bene%it coul use w)ile it ;esulting in x, mount it (ra els or;eturns *iel ing *namics, w)ereb* *iel means to pro uce or to generate a result, gain, or%inancial return! t)is met)o *iel s t)e same results suc) in estments *iel irect cas) returns.
". Axamples o% p)ilosop)* battlegroun :attlegroun No Fan *our belie%s about religion ma e it
across our intellectual battlegroun 9 n t)is acti it*, *ouMll be as e a series o% uestions about Noan religion. n eac) case apart %rom Tuestion 1, w)ere 7Von t Wnow7 is a possible answer!, *ounee to answer eit)er (rue or 5alse. ()e aim o% t)e acti it* is not to u ge w)et)er *our answers arecorrect. ;at)er, our battlegroun is t)at o% rational consistenc*. ()is means to get across wit)outta ing an* )its, *ou are re uire to answer in a wa* t)at is rationall* consistent. n ot)er wor s, *ou)a e to a oi c)oosing answers t)at contra ict eac) ot)er. 6lso, i% *ou answer in a wa* t)at isrationall* consistent, but w)ic) )as strange or unpalatable implications, *ouMll be %orce to bite a
bullet - accept somet)ing man* %in unpalatable an woul iew as being a ma or problem.
#. Lore about )its an bullets % course, *ou ma* go along wit) t)in ers suc) as Wier egaar an belie e t)at religious belie% oes not nee to be rationall* consistent. :ut t)at ta es us be*on t)escope o% t)is acti it*, w)ic) is about t)e extent to w)ic) *our belie%s are rationall* consistent, notw)et)er t)is is a goo or a ba t)ing.
Viscrete e ent simulation coul )elp man* loo ing %or principles o% surroun s*mboli0ation to o er ri etrace abilit* tractabilit* o% ali ariation grouping le el, alue! mapping pair. ()ere%ore, burrowingcomputing %or resulting in realit* s)oul %ill in responsible re uests o% intentional logics to support exertingexpertise o% balance bene%its an to en)ance t)eor* o% art class customi0ation, w)ereb* using utilit* o% socialsurroun %unctions s)oul compl* wit) liable linguistic laws o% esirable wis)es to obser e trace abilit* o%)an ling )ierarc)* )armon*.
n %act, iscrete e ent simulation )as to e ol e potential principles o% ali ariation o% growt) o% logics tosupport intentional insig)t %or %urt)er searc) across super management o% people parliament part* t*pe
esign an to compute aroun mount o% mapping pair. ence oin able computing o% iscrete e entsimulation coul )elp resulting in realit* s re uests %or better un erstan ing o% liable linguistic logics o%
genuine, un ust! mapping pair, w)ic) coul be in ol ing wit)in tg², ciotg²! mapping pair or -1 +1/sin², -1
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+ 1/cos²! or sin².cos²/ sin² - co s²!², sin² - cos²!² / sin².cos²!! or -1 + 1/exp -exp ....!!, -1 +1/exp -1/exp ...!!!or anot)er a, b! mapping pair %illing in realit* s re uest o% balance bene%it basic built in be)a ior. ()us, trusttrace abilit* o% genuine, un ust!, mapping pair )as to )elp man* )armonic )ierarc)* )omes to bring uponliable linguistic logics o% t)eor* tractabilit* using super secretes o% iscrete e ent simulation.
()us, as exerting examples iscrete e ent simulation coul in ol e a number o% rituals, one o% w)ic)inclu es circling surroun a blac s uare, cube-li e structure also nown as t)e ouse o% No -- t)e )oliestsite in slam. 6lt)oug) to return bac into resulting realit* o% )ig)er )oll* )ierarc)* )ome o% ali text trips,t)is coul t)en rel* on a series o% signal %ires to let t)em now w)en people in Perusalem coul see t)e newmoon to iscuss ri en esign o% using utilit* in or er to consi er a %ree oin able u gment. ()us, 5romt)ese pictures, *ou will be able to see a complete area o% t)ese cities an will be able to well imagine t)at)ow ol* an blesse bot) o% t)ese cities areX Ue )a e been attac)ing t)e pictures o% mos ues t)at )a e
been locate in bot) o% t)e cities...n %act, to return u ging logic o% true aware awa* principles, iscrete e ent simulation )as to pro i e its
robust resulting in realit* s re uests t)roug) using Aart) s O * scener* s)ows %or eeper ri en esign o%transition traceabilit* an terminolog* tractabilit*, w)ic) s)oul operate in asi e computing o% %amous sa*7super across management s insig)t = searc) measurable && e ol e balance bene%it be)a ior t)roug) usingutilit* o% genuine = -1 +1/sin², un ust = -1 + 1/cos²! mapping pair7. ()ere%ore, to )an le )armonic )ierarc)*o% arc)itectural s*mboli0ation o% mount s insig)t, a itional 1/", ratio o% a to b %or all possible case suc) t)ata C= b!. ence, to in est insi e terminolog* tractabilit* an transition traceabilit* in all un er consumer sseal scener* s)ows, using utilit* o% mount s insig)t s)oul generate ali *namics o% balance bene%it
be)a ior to %ill in operation trust t)eor* o% c)osen or gi en )armon* belong to an* proposal )ig)er )ierarc)*)ome. ()ere%ore, social s*mbolic %unction or er %inancial outlet s)oul compl* wit) t)eological principles o%
ratio o% 1 to ", ratio o% a to b %or all possible a C= b! to o er ri e growing upon expertise exploitation o%en)ancement engineering belong to
1. Aart) s Opace scener* s)ows count a a* awa* to be aware o% w)at ar , clear! mapping pair )as been got an w)at t)is ar , clear! mapping pair coul tell.
2. social s*mbolic %unction or er %inance outlet intentional in estment s)oul obe* to exertingexpertise o% balance bene%it be)a ior belong to using o% tg², cotg²! mapping pair or sin², cos²!mapping pair or -1 +1/sin², -1 +1/cos²! mapping pair or exp -exp ...!!, exp -1/exp ...!!! mapping
pair or -1 + 1/exp -exp ...!, -1 + 1/exp -1/exp ...!!! mapping pair or sin².cos²/ sin²-cos²!²,sin².cos²!²/ sin².cos²! ! mapping pair or ot)er %orms o% ali ariation concei ing basic built in
be)a ior o% balance bene%it raw escription.
3. social s*mbolic %unction or er %ait)%ul organi0ation suc) as people parliament principles )erewit),constant = ratio o% o%%ering to total = 7o%%ering / total7 coul operate terminolog* tractabilit* antrust traceabilit* to turn o%% t)e un ust u gment o% actual mount s insig)t an t)en it )as to e ol e
ali management implementation o% mount s intelligence, w)ic) is able to a ust arc)itecturalarrangement %or an* gi en people parliament t*pe an to a ise an* aware awa* ustice supportingliable linguistic scener* s)ow.
4. resulting in realit* s re uests to in est mount s insig)t wit)in ali growt) o% basic built in
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be)a ior o% balance bene%its an its potential principles to pro uce in uir* uestion string7innocence insi e intentional intelligence7. ()ere%ore, t)is intentional innocence intelligence e%%ects)oul pro i e smart social %as)ion %low operate %ait)%ul organi0ation o% laws an logics. ()us, toin est wit)in similarit* s)ows o% using sin², cos²! mapping pair or exp -exp ...!!, exp -1/exp ...!!!mapping pair t)roug) using utilit* o% Lax ! %unction to pro uce ratio o% tg², cotg²! to Lax tg²,cotg²!! mapping pair or ratio o% -1 +1/sin², -1 + 1/cos²! to Lax -1 +1/sin², -1 + 1/cos²!! or ot)er%unction o% t)is ali ariation to oin trust traceabilit* o% transition translation t)eor* an to e aluateterminolog* tractabilit* o% liable linguistic logics.
". 'oo ing %or arc)itectural a ises to burrow neat networ ing o% narrows, w)ic) )a e to pro uceresulting in realit* s re uest, a ailable principles o% genuine, un ust! mapping pair s)oul t)enconcei e comparati e computing aroun arrangment process an s)oul t)en return %as)ionable %lowo% liable linguistic logics. 5or example, social s)ow %low output %un amental origins, w)ic) are sc)e uling s)eets, lea% li e logics lin s an robust roots t)at coul resit.
>otice()e >ew Loon occurs w)en t)e Oun an t)e Loon are in t)e same sign. ()is ma es %or a power%ulalignment an opens a power%ul energ* portal %or us to wor wit), i% we so c)oose. >ew Loons are a greattime to set intentions, t)at )elp us to mani%est t)at w)ic) we eepl* esire. ()is energ* is er* supporti e in
)elping us to alignment wit) our ig)er Oel%, our 6L presence w)ic) resi es wit)in. ow *ou wor wit)t)is power%ul an supporti e energ* is entirel* up to *ou.
()is group )ealing is inten e to align t)ose wit)in t)e group to t)e No Fonsciousness, w)ic) resi eswit)in t)eir )eart. Oo t)at t)e* ma* in ee open t)emsel es to t)e eternal gi%ts t)at resi es wit)in t)at onl*t)e* unloc . >ew Loon energies are er* supporti e on inner re%lection an inwar %ocus. t encourages usto learn, trust an get com%ortable wit) t)e un nown. t supports us as we allow t)e ol to %all awa*, in or er to ma e room %or t)e new. ()e >ew Loon is li e a blan can as, ust waiting %or *ou to express *our trut)upon it. Wnowing t)at eep wit)in t)is is w)at *ou were born to o.
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n ee using concrete mapping pair = ratio o% 1 to ", ratio o% a to b w)ere a C= b! to pro i esurroun s*mbolic %unction or er %inancial organi0ation %or an* gi en social societ* %unctionoperates %ait)%ul outlet s)oul generate mount management o% w)at No or liable 'or )as to returnor tra el %or somet)ing coul be e ual to total/", t)en to in est insi e eit)er 1/" total - 1/"Btotal! =4Btotal/2" %or an* proposal isposal in t*pe o% mone* outputs. ence, an ot)er s*mbolic s*stemis to eci e %or total/38 %or an* proposal isposal mone* output %or No , %or poor people, ....
n %act, man* se eral surroun social %unctions or er %inance outlets )a e to eal wit) logics basicso% ratio o% 1 to " = 1/", ratio o% a to suc) t)at a C= b! = Y liable linguistic logics!. ()ere%ore, insig)tinspiration in ests intentional principles to surroun an* t)eoretical or t)eological implementationo% concrete clean clear liable linguistic logics, w)ic) is able to iscuss trust traceabilit* anterminolog* = ()e bo * o% terms use wit) a particular tec)nical application in a sub ect o% stu *,t)eor*, pro%ession, etc or t)e s*stem o% terms belonging or peculiar to a speciali0e sub ectEnomenclature!. 6lt)oug), mo ing spZet)ing sure into sa%e stepping process woul in est growt) o%insig)t inspiration s aspects in ol ing insi e motion principles, w)ere motion is ealing wit) ()eaction or process o% mo ing or being mo e example = t)e laws o% planetar* motion!.
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ence, liable linguistic logics coul be surroun set = < measurable Y amount!!,
motion Y transition!!!, instill Y no e!, in%use Y e ge!!!, custom Y e ent!!, trust Y time = n.(!!!,w ; x, m ( or ; *! [= w)ile it ;esults in x, mount it (ra els or ;eturns * = *ar ing or *arn .....! ,w)ereb* *arn s)oul e ol e expertise exploitation en ironment concerning examples suc) as a %ine*arn %or a lig)tweig)t garment or )e ne er let realit* get in t)e wa* o% a goo *arn or )e )a a bit o% a *arn wit) t)e ot)ers or t)e* were *arning about local legen s an superstitions or .....
n %act, t)is surroun set = 9(/easurable (@(a/ount11, /otion(@(transition11 1, (instill(@(node1,infuse(@(edge11 1, (custo/(@(e'ent11, trust(@(ti/e 4 n.:11 1, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults in
5, /ount it :ra'els or ;eturns y 4 yarding or yarn .....1= or ot)er compact customi0ation o% liablelinguistic logics )a e to o er ri e main mount management o% ali ariation belong to an*resulting in re uests o% realit* s returns i% No woul permit suc) an exerting engineering o%
expertise exploitation. 6lt)oug), sure sa%e %unctional or ering %ocus ons coul be %oun insi e t)istrust traceabilit* table suc) as it was e%ine belowcall %or clear clean concretecustomi0ation o% liable linguisticlogics. Nenerall* belong to )ig)er)ol* )ierarc)* )omes 'or s logics,
clean = chosen"
,∀ chosen = f (# in+s , )roduction )
call %or un ust use utilit* o%correspon ing liable linguistic logics.Nenerall*, belong to 7proposal processo% logics owner to s)in up a tree7.
concrete = 4∗chosen2"
,∀chosen = f (# in+s , )roduction )
call %or operational raw owner principle or sel%is) s*mboli0ation%eat)er operational %unction outlets.
clean = chosen38
,∀chosen = f (#ty)es , )roduction )
:ut %or an* gi en growt) o% insig)t inspiration, use utilit* s)oul t)en pro i e *namics o% liablelinguistic belong to trust traceabilit* an t)eological aspects at an* proposal time.
1
1.5
2
2.5
3
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n %act, s*stem signal %unctions or er %ait)%ul outlets e ol e engineering en ironment to turn o%%w)at is un ust use utilit* in or er to oin )app* )ig)er )ierarc)* s )armonic )omes. ()us, turn o%% isa liable lin to 'ea e one roa in or er to oin anot)er t)e* turne o%% t)e main roa !. :ut sure to
be aware to tr* somet)ing awa* is s*mbolic s*nc)roni0ation %unction o% in uir* uestion string 7beaware to turn o%% to t)e genuine pro uct in or er to oin un ust u gement7.
A en t)oug), ali customi0ation coul be in ol ing insi e t)is
i. belie e it it is %ait) to support *ar ing sel%is) *arnstorm.
ii. be aware to tr* somet)ing awa* suc) as turn o%% genuine growt) to oin insig)t inspiration.
iii. be sure to surroun w)at No i sa* %or %urt)er in estigation o% liable linguistic logics.
i . call %or trust traceabilit* across time in or er to bring upon uietness an wellness %or artclass %rien s)ip scener* s)ows an brot)er)oo esign escription.
. a ance arc)itectural computing o% ali t)rea tas sc)e uling to pro i e use utilit* o%w)at is entitle sli ing slice win ow simulation suc) t)at genuine = sin² && un ust = cos²or genuine = tg² && un ust = cotg² or genuine = exp -exp ...!! && un ust = exp -1/exp ....!!or genuine = -1 + 1/sin² && un ust = -1 + 1/cos² or genuine = -1 + 1/exp -exp ...!! &&un ust = -1 + 1/exp -1/exp ...!!. R
n %act, sli ing slice win ow *namics consists to pro i e main mount management eals wit) surroun
set = < measurableHamountJ, motionH% tools!J !, instill no e!, in%use e ge!!, customHe entJ, trustHtime =n.(J!, w ; x, m ( or ; *! = w)ile it ;esults in x, mount it (ra els or ;eturns * = *ar ing or *arn! .
()ere%ore, t)eor* tractabilit* s)oul t)en in est proposal a ances along oinable arrangement o% liablelinguistic logics t)at coul )elp )ig)er )ierarc)* )omes to ac)ie e t)e language o% %amous sa* 7'or is onew)o )as to return resulting in re uests o% an* isposal realit* or o% an* ali %as)ion %low7.
()us, ali robust returns o% resulting in re uest o% realit* s)oul t)en in o e concrete customi0ation o%engineering expertise, w)ic) utili0e growing upon trust traceabilit* to %ill eep breat)s o% )uman souls*mboli0ation. ()ere%ore, people parliament realit* )as to e ol e ri en *namics o% trust traceabilit*, w)ic)coul purpose ali ariation o% operational %unctions t)at in est e%%orts an raw aspects to ensure growt)o% insig)t inspiration an to lin burrowing be)a ior into t)is supporting scener* s)ows o% ustice ana ustment align o er all o% surroun set = < measurableHamountJ, motionH% tools!J !, instill no e!,in%use e ge!!, customHe entJ, trustHtime = n.(J!, w ; x, m ( or ; *! = w)ile it ;esults in x, mount it(ra els or ;eturns * = *ar ing or *arn! .
2
2.5
3
3.5
4
4.5
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6lt)oug), iscrete e ent simulation an ot)er trust tractabilit* tools )a e to iscuss a ailable t)eor*terminolog* base upon intentional %unctions o% social s*mboli0ation %eat)ers optimal %inance outlets, w)ic)coul )elp an* own operator to o er ri e concei ing aim ob ect. ence, liable linguistic logics o% people
parliament eals wit) in i i ual implementation to support an* proposal logics. ()is in i i ualimplementation nee s to pro i e iscrete e ent simulation *namics to in o e sa%e s*mboli0ation o%cooperation an exerting existence o% logics. ()us, using constant = ratio o% o%%ering to total, w)ere o%%eringis a ali number o% o%%ering s*mbolic seats insi e an* proposal people parliament an total is t)e totalnumber o% isposal seats insi e an* people parliament. ()is resulting in re uest o% realit* eals wit) people
parliament customi0ation %or an* c)osen e ent coul )elp )ig)er )ierarc)* )omes o% ri en emocrac* to
reac) *ar ing trust traceabilit* to isco er eep breat) scener* s)ows %or oinable balance be)a ior loo ing%or burrowing narrows to return art class operations o% liable linguistic logics. ()ere%ore, using t)is surrounset = < measurableHamountJ, motionH% tools!J !, instill no e!, in%use e ge!!, customHe entJ, trustHtime =n.(J!, w ; x, m ( or ; *! = w)ile it ;esults in x, mount it (ra els or ;eturns * = *ar ing or *arn! to
pro i e robust realit* re uests o% proposal emocrac* insi e an* people parliament coul t)en output artclass customi0ation o% engineering exploitation, w)ic) grows upon trust traceabilit* iscussing balance
bene%it basic built be)a ior t)roug) e%ine mo eling mo es base upon genuine, un ust! mapping pairt)eor* tractabilit* suc) t)at
1. genuine = sin² , un ust = cos²
2. genuine = exp -exp ....!!, un ust = exp -1 / exp ...!!
3. genuine = -1 + 1/sin² , un ust = -1 + 1/cos²
4. genuine = tg² , un ust = cotg²
". genuine = sin².cos²/ sin² - cos²!² , un ust = sin² - cos²!² / sin².cos²!
#. genuine = -1 + 1/exp -exp !! , un ust = -1 + 1/exp -1/exp ...!!
n %act, t)ese proposal resulting in re uests o% realit* o% balance be)a ior coul t)en in est intentional insig)tinspiration to pro i e ali ariation o% an* liable linguistic logics eals wit) mount management %or
isposal expertise exploitation o% engineering en ironment.
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mount management t)at woul u ge neat networ ing o% probabilit* an stoc)astic s*stems to %ill in re uirere uests in ol ing wit)in t)is surroun set =
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(imes e ent!!!∀ ) =
n:i/es (e'ent i)
1+ ∑ first
final
n:i/es (e'ent i )
4. en elop = sin², cos²! in s*mbolics*nc)roni0e timing simulation s)ows. logics =( true = e
− e....∨ sin2 ∨... , false = e
− 1e...∨cos2 ∨... )
ence, nice i ea is to con ert t)is surroun set =
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) = n:i/es ( E'ent )
1+ ∑inde5 = begin
inde5 = end
n:i/es ( E'ent inde5 )
∀ n:i/es ( E'ent inde5 )=∃ E'ent inde5 = f ( so/ething )
)robability 4 ratio of n :i/es(e'ent1 to (- 7 su/(n :i/es(e'ent111
ali ariation coul in est more intentional insig)t wit)in proposal processing to eal wit) ali ustice o%
oinable mount management o% linguistic logics.
n %act, ol operation trust tractabilit* i pro i e parallelism processing to in o e two istinct esign o%clear c)aracter computing, w)ic) are
1. %ore er in lo e s)oul be wit) a a re uire realit* %as)ion %low o% %ait)%ul %at)er to occup*operation organi0ation o% trust tractabilit*.
2. s*mbolic se uction %eat)ers or ering %unctional outputs.
()ese two ma or main proposal pointing up o er iews 1 && 2! s)oul grow upon t)eoretical t)eolog* tolin linguistic logics into utilit* use o% intentional insig)t to support ali ariation o% mount managementsurroun ing s*mbolic set = < measurable amount!, ri en aim = somet)ing to reali0e!!, instill no e!,in%use e ge!!, custom e ent!, trust time!!, w ; x , m ; or ( * = = w)ile it ;esults in x, mount it (ra els or ;eturns * = *ar ing transition translation! .
0
0.2
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1
1.2
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n %act, legislati e constitutional eclarati e point o er iews re uire inertial initiali0ation to concei e ri en*namics o% concrete emocrac* base upon expertise exploitation o%
surroun set = 9(/etric(f(a/ount11, dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 ,(custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns
y (4 yarding )erfor/ance )rocess11=
0.2
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0.6
0.8
1
1.2
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ence, an* )uman breat) process s)oul compl* wit) re uire utilit* tools %or liable li%e, w)ic) iscussesmain mec)anism o% growt) battlegroun to isco er t)e real robust realit* %as)ion %low o% basic built in
be)a ior o% balance bene%it bu get. ()ere%ore, using t)is surroun set = 9(/etric(f(a/ount11,dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 , (custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or
; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns y (4 yarding )erfor/ance )rocess11= %or concretecompact computing aroun liable linguistic logics to ac)ie e clear mo eling mo es %or )uman )ig)er)ierarc)* )ome )armon* ealing wit) per%ect per%ormance %or proposal li%e st*le at an* correspon inge ui alence exploitation o% re uire utilit* tools, w)ic) are mone*, )abitation rooms!, nutrition )ealt)*eating an rin ing mec)anisms!, clot)ing, ...
A en t)oug), real optimi0ation o% ob ecti e esirable realit* %as)ion %low s)oul t)en resol e concretecomputing to compl* wit) an* correspon ing liable linguistic logics. ence, )ig)er )ierarc)* )ome )armon*s)oul bring up proposal principles o% surroun set = 9(/etric(f(a/ount11, dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 , (custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults
0
200
400
600
800
1000
1200
1400
1600
1800
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in 5 , /ount it :ra'els or ;eturns y (4 yarding )erfor/ance )rocess11= ,to permit clear con%iguration o% trust tractabilit* an t)eor* traceabilit* %or art class per%ormance o% isposalun er consumer s seal computing o% ustice an u ging o*.
n %act, social s*mbolic %unction optimi0ation %eat)er %inancial outlets pro i e necessar* per%ormance pro ecto% ri en emocrac* iscusses t)ese main point o er iews
1. an* %ree om owner )as to eal wit) go ernable )owtos an measurable )owtos, w)ic) )an le )ig)er )ierarc)* )ome )armon* o% liable 'or s laws per%orm eep insig)t aroun )ol* :oo s, ....
2. :urrow neat networ ing o% narrows to transmit signi%icant s*nc)roni0ation %ocus on %ait)%ul optionso% a ises, o% arrangement, o% a ustment, o% uietness, o% wellness, ... w)ic) in o e innocent insig)tinspiration to pro uce esirable mo eling mo es o% genuine growt) o% balance bene%it bu get an its
basic built in be)a ior.
3. _sing utilit* o% mapping pair principles suc) as surroun set = 9(/etric(f(a/ount11,dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 , (custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ;
5, / : or ; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns y (4 yarding )erfor/ance )rocess11= , to proce ure %eat)er ri en esign o% engineering exploitation, t)en to accessmat)ematical representation o% ali ariation o% ustice awareness belong to genuine, un ust!
mapping pair. ence, associate assignment o% t)is genuine, un ust! mapping pair s)oul t)encompl* wit)
) = n:i/es ( E'ent )
1+ ∑begin
end
n:i/es ( E'ent inde5 )
∀ n:i/es ( E'ent inde5 )=∃ E'ent inde5 = f ( so/ething )
0
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) = tg2 Ma5 (tg2 , cotg2 ) , ) =
cotg2 Ma5 (tg2 , cotg2 )
) =− 1+ 1
sin2
Ma5 (−1+ 1
sin2 ,− 1+ 1
cos2 ) , ) =
− 1+ 1cos2
Ma5 (− 1+ 1
sin2 ,− 1+ 1
cos2 )
) =
sin2.cos2 ( sin2 − cos2 )²
Ma5 ( sin2.cos2 ( sin2 − cos2 )² ,( sin2 − cos2 )²
sin2.cos2 )
, ) =
( sin2 − cos2 )² sin2.cos2
Ma5 ( sin2.cos2 ( sin2 − cos2 )² ,( sin2 − cos2 )²
sin2.cos2 )
) =−1+ 1
e− e...
Ma5 (−1+ 1
e− e... ,− 1+
1
e
− 1
e...
) , ) =
− 1+ 1
e−1e ...
Ma5 (−1+ 1
e−e ... ,− 1+
1
e
−1
e...
)
) = sin2 , ) = cos2
) = e− e...
, ) = e− 1e...
) = ln(1+ e...)
1+ ln (1+ e...) , ) = 1
1+ ln (1+ e...)
) = f2.e...
1+ f2.func e... , )= 1
1+ f2.e... ,∀∃ f2 = 8
A en t)oug), man* mo eling mo e esigns o% insig)t inspiration eal wit) t)eological balance bene%it bu get to get out necessar* ali ariation o% intentional in%ormation %ills in social s*mbolic %unctions or er%inancial outlets.
Ocienti%ic ealers wit) intellectual in%ormation insig)t inspiration, w)ic) are Flau e O)annon H J, i pro i e measurable exploitation o% uncertaint* utilit* entrop* = sum p.'og 1/p!!, w)ere p = probabilit* o%eac) element in ol ing insi e exerting en ironment. owe er, using iscrete e ent simulation, t)is proposal
probabilit* p coul be etermine t)roug) p = ratio o% n (imes e ent! to 1 + sum n (imes e ent!! = n (imese ent! / 1 + sum n (imes e ent!!
()us, proposal principles o% per%ect per%ormance e aluates engineering exploitation o% e%%ecti e an using
utilit* to )an le trust tractabilit* an terminolog* traceabilit* t)at coul in o e oriente ob ect opportunit*o% surroun set = 9(/etric(f(a/ount11, dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 ,(custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns
y (4 yarding )erfor/ance )rocess11= . ()ere%ore, t)is surroun set coul t)en lin liable so%twaree elopment into growt) battlegroun o% proposal probabilit* in its original %orm belong to iscrete e ent
simulation t)roug) t)is e ui alence exploitation p = ratio o% n (imes e ent! to 1 + sum n (imes e ent!!= n (imes e ent! / 1 + sum n (imes!!
A en t)oug), %ar awa* using iscrete e ent simulation main proposal principles, p = sin² or p = cos² or p =exp - exp ...!! or p = exp -1/exp ...!! or p = ratio o% %² to 1 + %²! or p = ratio o% 1 to 1 + %²! or p = ratio o%'og 1 + exp ....!! to 1 + 'og 1 + exp ..!!! or p = ratio o% 1 to 1 + 'og 1 + exp ...!!! or p = ratio o% Lax² ! to
Lax² ! + Lin² !! or p = ratio Lin² ! to Lax² ! + Lin² !! or ot)er %orms o% transporting mat)ematicalamount into trust segment H8, 1J t)roug) p = ratio o% -1 + 1/sin², -1 + 1/cos²! to Lax -1 + 1/sin², -1 + 1/cos²!
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or p = ratio o% tg², cotg²! to Lax tg², cotg²! or p = ratio o% sin².cos²/ sin² - cos²!², sin² - cos²!² / sin².cos²!! toLax sin².cos²/ sin² - cos²!², sin² - cos²!² / sin².cos²!! or p = ratio o% -1 + 1/exp -exp ...!!, -1 + 1/exp -1/exp ...!!! to max - 1 +1/exp -exp ...!!, -1 + 1/exp -1/exp ...!!!
n %act, social s*mbolic %unction or er %inancial outlet alwa*s re uires intellectual insig)t inspiration to pro uce inertial initiali0ation o% trust tractabilit* an terminolog* traceabilit* o% proposal principles )an legreat per%ormance pro ects an tr* to e ol e art class customi0ation o% liable linguistic logics. 5or example,w)* s)oul laser s cloc spee ac)ie e a ising arrangement %or an* %aster per%ormance insi e intellectualinsig)t inspiration9 erewit), )ig)er )ierarc)* )ome )armon* o% proposal processing coul t)en %ill in ali
ariation o% e aluation engineering exploitation t)roug) concrete compact computing aroun surroun set = 9(/etric(f(a/ount11, dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 ,
(custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns
y (4 yarding )erfor/ance )rocess11=
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owe er, liable linguistic logics s)oul alwa*s compl* wit) proposal principles o% trust tractabilit* anterminolog* traceabilit* to per%orm art class customi0ation o% arc)itectural a ise arrangements anac nowle gment a ustment, ..... ()ere%ore, t)is arc)itectural ri en *namics esign o% mount managementmec)anism s)oul be ali ariation o% social s*mbolic %unction or er %inancial outlets to operate%un amentals o% aware awa* uietness an wellness t)roug) using t)is
surroun set = 9(/etric(f(a/ount11, dri'en(f(e5)loitation11 1,(instill(f(node11, infuse(f(edge111 ,(custo/(f(e'ent11, dro))ing(f(n.:1 11, (8 ; 5, / : or ; y1 4 ( 8hile it ;esults in 5 , /ount it :ra'els or ;eturns
y (4 yarding )erfor/ance )rocess11= .
n %act, using )robability 4 ratio of ti/es(e'ent1 to (- 7 su/(ti/es(e'ent11
)robability 4 ratio of ti/es(e'ent1 to
(- 7 su/(ti/es(e'ent11
) = n:i/es ( E'ent )
1+ ∑inde5 = begin
inde5 = end
n:i/es ( E'ent inde5 )
∀ n:i/es ( E'ent inde5 )=∃ E'ent inde5 = f ( so/ething )()is is art class computing aroun e ent s occurrence to pro i e intellectual inspiration, w)ic) )as to eal
0
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exploitation o% probabilit* = ratio o% times e ent! to 1 + sum times e ent!!or probabilit* = sin² or probabilit* = cos² or probabilit* = abs sin! or probabilit* = abs cos! or probabilit* =exp - exp ..!! or probabilit* = exp ratio o% -1 to exp ...!! or probabilit* = ratio o% 'og 1 + exp !! to 1 +'og 1 + exp ....!! or probabilit* = ratio o% 1 to 1 + 'og 1 + exp ...!! or probabilit* = ratio o% %².exp ...! to 1+ %².exp ...!! or probabilit* = ratio o% 1 to 1 + %².exp ...!! or probabilit* = ratio o% %² to 1 + %²! or probabilit*= ratio o% 1 to 1 + %²! or probabilit* = ratio o% Lax² ! to Lax² ! + Lin² !! or probabilit* = ratio o% Lin² ! to
Lin² ! + Lax² !!, .... 6ll t)ese exploitation o% exerting probabilit* e ui alence an ot)ers )a e to eal wit)ri en *namics o% main mount management o% proposal isposal trust tractabilit* belong to %amous sa*
7 eep emocrac* = surroun or encircle )uman breat) s soul to occup* per%ect per%ormance wit)in liable'or s law7.
4. :alance bene%it basic built in be)a ior permit proposal processing to generate resulting in realit*%as)ion %low o% u gment ustice an a ising a ustment or arrangement in or er to %ill incomputing customi0ation o% surroun set = < metric, ri en!, instill, in%use!, custom, ropping!, w; in x, m ( or ; in *! = w)ile resulting in x, t)en mount tra els or returns *!
". peration or ers )ig)er or )ol* )ierarc)* )omes s)oul eci e %or an*one to occup* art classcustomi0ation o% realit* %as)ion %low t)at an*one s)oul loo %or. ence, low or not )ol*! coul bere ecte %or an* art class customi0ation o% ualit* c)oice. 5or suc) an ob ect operation, %ocussing on%unctions
1. a, b! = ratio o% tg², cotg²! to Lax tg², cotg²!coul be use )rob =
(tg2 , cotg2 ) Ma5 (tg2 , cotg2 )
2. a, b! = ratio o% -1 + 1/sin², -1 + 1/cos²! toLax -1 + 1/sin², -1 +1/cos²! coul be use
)rob =(−1+ 1
sin2 ,− 1+ 1
cos2 )
Ma5 (−1+ 1 sin2
,− 1+ 1cos2
)
3. a, b! = ratio o% sin².cos²/ sin² - cos²!², sin² -cos²!² / sin².cos²!! to Lax sin².cos²/ sin² -cos²!², sin² - cos²!² / sin².cos²!! coul be use
)rob =( sin2.cos2 ( sin2 − cos2 )² ,
( sin2 − cos2 )² sin2.cos2
)
Ma5 ( sin2.cos2 ( sin2 − cos2 ) ² ,( sin2 − cos2 )²
sin2.cos2 )
4. a, b! = ratio o% -1 + 1/exp -exp ...!!, -1 +1/exp -1/exp ...!! to Lax -1 + 1/exp -exp ...!!,-1 + 1/exp -1/exp ...!! coul be use
)rob =
(−1+ 1e−e
... ,− 1+ 1
e−1e...
)
Ma5 (−1+ 1e−e
... ,− 1+ 1
e− 1e ...
)
or ot)er an* mapping pair %unctions, w)ic) are rea to %ill in trust tractabilit* esigns across an* proposalisposal processing across per%ormance an linguistic logics.
5urt)ermore, eplo* robust realit* %as)ion %low s)oul compl* wit) intellectual insig)t inspiration belong to)uman breat) s soul support computes align ali ariation o% )uman esirable wis)es an resol es an*intentional illusion base upon engineering exploitation o% %amous sa*7 because li%e s)oul be )ar , )a e tocra* aroun an asi e ...because un ust trust coul be %oun , )a e to return along o er all a ises,.....because insi e in asi e insig)t inspiration linguistic logics is r* ar , )a e to %ill in tra el trips o%%ait)%ul slices, ... because )ea * breat) s soul nee s are intentional ob ects, )a e to lin m*sel% into s)owspace o% social supports, .... because implementation o% concei ing concept is )uge )ar l* result, clear c)oice)as to maintain awa* wait an )as to loo %or genuine growt) o% insig)t an r* oc s....7
n %act, resulting in respects o% )uman )ierarc)* )ome )armon* coul )elp intellectual inspiration to pro i e personal proce ures to ac)ie e proposal per%ormance an to e aluate raw escription o% linguistic logics
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w)ic) e ol e presentation o% wor meaning%ulness compare to its correspon ing mount management issues)an le liable 'or s laws.
()ere%ore, operational pointing up o er iews coul t)en organi0e eals an iscussion aroun in asi einsig)t inspiration t)at will operate )uman re uirements an burrow neat networ ing o% per%ormance tosurroun smart sources o% uietness an wellness. ()us, t)eoretical trust tractabilit* s)oul t)en )ol)armonic social support %unctions optimi0e %inancial outlets to reac) oinable u gment ustice belong to an*genuine growt) o% arc)itectural a ustment w)ic) )as to en)ance balance bene%it basic built in be)a ioracross time.
>otice t)at %aster, slower! mapping pair coul t)en e ol e using o% laser cloc to accelerate an* igitalcomputing as s)own below.
Oocial s*mbolic %unction optimi0e %inancial outlets s)oul compl* wit) proposal esign o% integrate insig)t point o er iews, w)ic) are
1. co er *our )ea to be aware an awa e o% w)at will occur or to a oi an* misuse o% proposal *namics
2. iscuss somet)ing t)at coul bring up re uire nee %or sel%is) ob ect owner
3. beware to reali0e concei ing con enient computing aroun )ol* :oo
4. beware to in o e precaution an pre ention %or protection proce ures against somet)ing wrong or un ustarrangement or %alse a ising a ustments.
". ne er allow an*one to ta e o%% *our inner own c)airman s c)aracter an *namics.
Theologically, legislative constitutional declarative point-overviews are unjust and wrong and call for God whocould never exist.5ore er in lo e s)oul be wit) a a onl* compl* wit) in ness o% law
but ne er to obe* to c)il )oo nor to i )appiness
Oo, belie e it it is to support *oursel% Oo, be aware to tr* somet)ing awa*Oo, be sure to surroun w)at No i sa*, got it o not worr*, got it be )app*
5ore er in lo e s)oul be wit) a a onl* compl* wit) in ness o% law
step step will sc)e ule smart signsstep step will s)are s)inesgreat uestion w)o is9not a ustice not ob not a o* too
t is a eci er %or gloss* glee gui e aroun sel% own tra el
5ore er in lo e s)oul be wit) a a onl* compl* wit) in ness o% law
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ence, to u ge a situation o% s*mbolic surroun %unction or er %inancial outlet, mo eling mo es s)oul pro i e ma or main mec)anism o% liable linguistic logics to encircle ri en ali ariation o% traceabilit* antrust tractabilit* units. t)ere%ore, using oinable growt) o% uncertaint* an o% stoc)astic probabilit* too er ri e t)is issues o% mo eling mo es eals wit) basic built in be)a ior o% t)eological aspect generating
ali e aluation o% logic t)oug)ts belong to answer man* selecti e uestion o% *ar ing li%est*les, w)ic) are1. )ow s)oul smart wellness an uietness be92. )ow coul an* one reac) its supporting ream ri en esign93. w)* s)oul an* one searc) supporting breat) ps*c)e engines to exploit %ait)%ul %un amental o%
resulting in realit* %as)ion %low94. Vo liable 'or s logics complete esirable wis)es o% in ness an smartness to %ill in goo ness o%
in i i ual li%e s aspects9". U)* s)oul an* one utili0e engineering expertise to eplo* mount management o% concrete
computing concerns balance bene%it be)a ior9
A en balance bene%it be)a ior eals wit) great goo ness o% mo eling mo es to pro i e re uire nee s %or
gi en li%est*le an to operate main mec)anisms o% liable logics, e ol ing mat)ematical metric amountuantities coul t)en pro i e t)ese e ui alence e aluation to )an le )onorable )ierarc)* )omes o% socialscience %unction operating %ait)%ul organi0ation. ()us, t)eses social science %unctions coul be %oun insi esurroun pointing up o er iews, w)ic) are
1. :eware to pro i e precaution an pre ention %or an* processing o% state c)ange statement.
2. Veals wit) somet)ing w)ic) s)oul turn o%% re uire nee s.
3. o er ri e concrete in ness to resulting in )ig)er )ol* )ierarc)* )ome s )armon* logics.
4. Vo not tr* to surroun trip tra el o% trust traceabilit* an t)eor* tractabilit*.
". Oearc) resulting in own c)airman at an* proposal time.
ence, t)ese pointing up social science %unction o er iews coul )elp in entor to e ol e main principles o% balance bene%it be)a ior in or er to in o e great goo ness o% social science %un amentals, w)ic) currentl*
eals wit) go ernable an measurable )owtos.
1. No ernable )owtos it is a using utilit* o% e ol e expertise exploitation to compute aroun in i i ualintentional insig)t. 5or trust tractabilit* o% trut) tractabilit*, people parliament s)oul pro i e a %ixe
probabilit* %or gi en set o% people part* t*pes. ()us, t)eoretical exerting ratio = ratio o% o%%ering tototal, w)ic) )as to pro i e re uire in%ormation aroun liable logics o% ali e aluation o%intentional insig)t. ()us, t)is ratio o% o%%ering to total coul grow upon trust traceabilit* o% trut)tractabilit* to pro i e w)at resulting in realit* %as)ion %low o% emocrac* is loo ing %or. ence, %or agi en example o% 3#8 %ree seats insi e an* proposal people parliament, o%%ering %ixe place %or
isposal people part* t*pe coul be eit)er 12 or 38 seats %or an* un er consumer s seal people part*t*pes, w)ic) s)oul be eit)er 38 in s or 12 in s an ice ersa.
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2. Leasurable )owtos eals wit) ali aware awa* *ar s e ol ing expertise explanation o% engineeringen ironment, w)ic) is rea * to use *namics o% liable linguistic logics belong to comparati ecomputing concei ing intentional integration o% intellectual inspiration, w)ic) operates ri en esigno% ali e aluation. ence, t)is ali e aluation s)oul t)en %unction t)is surroun set = { {(metric( amount ) , driven( aim )), (instill( transition ), infuse( data )) , (custom( event ), trust(time =n." )) , (#ay $esults in %x%, mount $eturns or "ravels %y%) to achieve desirable driven design ofany disposal purposes
n t)e ot)er )an , ali ariation o%
A=( Ma52 () Ma52 ()+ Min2 () ,
Min2 () Ma52 ()+ Min2 ()) ,∀ Ma5 ()= Ma5 (
offering total
) , Min ()= Min ( offering total
)
cou)le =( Ma52 () Ma52 ()+ Min2 () ,
Min2 () Ma52 ()+ Min2 ())
Ma5 ( Ma52 () Ma52 ()+ Min2 () ,
Min2 () Ma52 ()+ Min2 ())
,∃total = constant , ∀ Ma5 ()= Ma5 (offering total
)
1. mapping pair Lax² ! / Lax² ! + Lin² !!, Lin² ! / Lax² ! + Lin² !!, coul pro i e engineeringen ironment o% liable mo eling mo es, w)ere Lax ! = Lax o%%ering/total!, %or an* proposalo%%ering, w)ere total = constant. 6n Lin ! = Lin o%%ering/total!, %or an* proposal o%%ering, w)eretotal = constant
2. mapping pair 1/LaxH Lax² ! / Lax² ! + Lin² !!, Lin² ! / Lax² ! + Lin² !!J!B Lax² ! / Lax² ! +Lin² !!, Lin² ! / Lax² ! + Lin² !!! coul t)en be use to pro i e more robust results across suc) aliable linguistic logics %or ali trust traceabilit* an trut) tractabilit*.
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()ere is alwa*s trust tr* to pro i e principles %or mount management o% liable linguistic logic, w)ic) are proposal un er consumer seal computing aroun ali insig)t translation an concrete computing across
clear, ar !, mapping pair to lin ali implementation tractabilit* o% using unit to compl* wit). ence, pro ucing similar scener* s)ows o% liable logics coul )elp man* in entor to computing across mountmanagement o% tra el trips in or er to %ill in %ocussing on %unctions o% uietness an wellness an to allowan* proposal personal soul breat) ps*c)e to loo %or a ancing aim ob ect, w)ic) are in ol ing insi earc)itectural arrangement o% trut) translation e%ine to o er ri es *namic esign o% raw escription.;ecentl*, researc) aroun ri en *namics o% parliament principles eals wit) rational ratio, o%%ering / (otal= %ixe amount uantit* to measure somet)ing interesting pro i ing somet)ing, w)ic) )as lin to liablelinguistic logics t)roug) trust traceabilit* an tr* terminolog* base upon compact ri en esign o% balance
bene%it basic built in be)a ior. ence, w)en using -1 + 1/sin², -1 + 1/cos²! to mo el mount management o% people parliament, ali in estment translation s)oul t)en %ocus on trust tractabilit*.
n %act, robust realit* %as)ion %low s)oul e ol e exerting rational ratio o% o%%ering to (otal insi e an* proposal people parliament to pro i e principles o% e ui alence an exploitation o% trust traceabilit* in or erto create concrete computing align o er growing upon gloss* glee gui e ensuring smartness an uietness
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%or all in s an t*pes o% tra eling test tries o% ri en emocrac* an esign raw escription o% usticescener* s)ows. ence, resulting in realit* %as)ion %low o% social supporting %unctions or er %inancial outletss)oul t)en use ri en *namics o% ar , clear! mapping pair to pro i e re uire nee %or engineeringexploitation o% )ig)er )ol* )ierarc)* )armon* ensuring trust o% li%e s aim ob ect.Vue to man* in estment translation tract abilities %or supporting liable linguistic logics to en)ance a ancinga ustment o% logic t)oug)ts, trust traceabilit* t)eor* )as to eal wit) ma or main principles o% operationaloptions o% %ait)%ul %as)ion %low to support social sciences loo ing %or neat networ ing o% uietness ansmartness. >o matter woul resist ue innocence insig)t insi e me
()en )a e to return bac to liable logics o% uietness insi e breat) be)a ior
()us, intentional in uir* uestion is )ow to be bac in robust realit* o% smart social sciences9
>o matter woul encircle m* art class arc)itecture o% %ait)%ul %as)ion%low
()en )a e to result in ri en raw esign o% )ig)er )ierarc)* )ome()us, intentional in uir* uestion is w)at coul be one %or smartwellness9
>o matter s)oul tr* ar r* translation a* o% trust traceabilit* antest tractabilit*
()en )a e to compute aroun ali in estment time %or an* oining o*
()us, intentional in uir* uestion is w)* s)oul it reali0e glee growt)t)roug) green gloss* gui e9
>o matter woul resist, >o matter s)oul u ge an* trip tra el o% soul,
>o matter coul result in ...
>o matter woul resist,
>o matter s)oul u ge an* trip tra el o%soul,
>o matter coul result in ...
ence, searc)ing align %ait)%ul social science options, w)ic) coul operate supporting realit* %as)ion %low o% trust translation an test tractabilit*, is ali in estment t)eor* o% basic built in be)a ior o% balance bene%itsurroun s mapping pair -1 +1/sin², -1 + 1/cos²! to maintain mo eling mo es o% intentional insig)t in o esgrowing upon mount management o% concrete computing to o er ri e re uire nee s %or uietness ansmartness in ol ing insi e an* social societ*.
)air 1=(ln ( 1
sin2 )
1+ ln ( 1 sin2
) ,
1
1+ ln ( 1 sin2
)) ,∃ )eriodicity ∀ sin2 ( 5)= sin2 ( 5+ )eriod 1 )
)air 2=(ln (
1cos2 )
1+ ln ( 1cos2
) ,
1
1+ ln ( 1cos2
)) ,∃ )eriodicity ∀ cos2 ( 5)= cos2 ( 5+ )eriod 2 )
n %act, using t)is sin².cos²!/ sin² - cos²!², sin² - cos²!² / sin².cos²!! mapping pair or similar aliimplementation aroun tg², cotg²! mapping pair, coul )elp man* in entors to pro i e ali implementationo% trust tractabilit*. ()ere%ore, using iscrete e ent simulation ri en esign to eci e %or actual socialsciences, w)ic) are emocrac*, u gment ustice, a ancing a ustment, aware arrangement, ... )a e toe ol e principles mount management o% mo eling mo es. U)* s)oul t)is )appen9 :ecause in ol ingin uir* uestion string 7 sorry to die ..., never + am mother ...., never this should happen it brings my life sobad, never it has to become active a#are a#ay ad*ustment across trust try .... #hy 7, coul o er ri e neat
networ ing o% intentional insig)t %or an* pro i ing liable linguistic logics o% mount management resulting inglee growt) o% ali in estment tractabilit*.
A en t)oug), ri en iscrete e ent simulation s)oul pro i e principles raw esign %or robust realit*
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%as)ion %low o% trust tractabilit* t)roug) main structural arc)itectures o% people parliament, w)ereb* %ixerational ratio = %%ering / (otal coul )elp pro i ing principles o% emocrac* to eal wit) growing upongloss* glee operates trust tractabilit* %or an* possible people parliament in . ()us, resulting in realit*s)oul be rea * to o%%er an* people parliament t*pe an exerting e ui-probable c)ance %or pro i ing concretecustomi0ation o% emocrac*. ence, t)is rational ratio o% o%%ering / (otal s)oul t)en in o e ma or main
principles o% liable laws insi e an* people parliament to operate %ait)%ul social societ* options.
6lt)oug), using measurable amount uantit* %or e aluating t)is structural arc)itectures o% people parliamentcoul in est e%%orts insi e ratio o% 'og 1 + -1 + 1/sin²!! / 1 + 'og 1 + -1 + 1/sin²!!! , 1/ 1 + 'og 1 + -1 +1/sin²!!! to Lax 'og 1 + -1 + 1/sin²!! / 1 + 'og 1 + -1 + 1/sin²!!! , 1/ 1 + 'og 1 + -1 + 1/sin²!!!!, w)ic)is e ual to ratio o% 'og 1/sin²! / 1 + 'og 1/sin²!!! , 1/ 1 + 'og 1/sin²!!! to Lax 'og 1/sin²!! / 1 +'og 1/sin²!!! , 1/ 1 + 'og 1/sin²!!!!.
ensuring 1=
(ln ( 1
sin2 )
1+ ln ( 1 sin2
) ,
1
1+ ln ( 1 sin2
))
Ma5 (ln ( 1
sin2
)
1+ ln ( 1 sin2
) , 1
1+ ln ( 1 sin2
))
,∃ )eriodicity ∀ sin2 ( 5)= sin2 ( 5+ )eriod 1 )
ensuring 2 =
(ln ( 1
cos2 )
1+ ln ( 1cos2
) ,
1
1+ ln ( 1cos2
))
Ma5 (ln ( 1
cos2 )
1+ ln ( 1cos2
) , 1
1+ ln ( 1cos2
))
,∃ )eriodicity ∀ cos2 ( 5)= cos2 ( 5+ )eriod 2 )
()is mat)ematical amount uantities o% 'og 1/sin²! an 'og 1/cos²! )a e to eal wit) %re uenc* %as)ion%low %or art class iscrete e ent simulation escription esigns. ence, sin² an cos² coul e ol e %re uent
ariation o% test tractabilit* suc) t)at sin² x! = sin² x + perio ! an cos² x! = cos² x + perio !, t)en'og 1/sin²! = 'og 1/sin² ... + perio ! an it is t)e same %or 'og 1/cos²! = 'og 1/cos² ... + perio !.
n %act, t)is pro i ing mapping pair 'ogH1/sin²J, 'ogH1/cos²J! s)oul in o es aware awa* arrangement o% proposal iscrete e ent simulation escription esigns. ence, using perio ic c)aracteristics to in o es
iscrete e ent simulation is %ait)%ul %as)ion %low o% liable linguistic logics base upon using Anglis)ictionar* logics w)ic) is a ing or mar e b* repeate c*cles perio ic oscillations. 2. appening or
appearing regularl* or %rom time to time perio ic ental c)ec upsE perio ic rain s)owers. 3. F)aracteri0e
b* perio ic sentences.!
A entuall*, operational opinion o% logic t)oug)ts coul t)en e ol e mo eling mo es o% proposal un erconsumer s seal scener* s)ows o% liable linguistic logics to %ill re uire nee s o% resulting in realit* %as)ion%low in or er to generate ma or main principles o% intellectual inspiration an to in o e in asi eimplementation o% trust tractabilit*. ence, )istoric )omes o% engineering expertise s)oul eal wit)resulting in relations)ips o% )ig)er )ol* )ierarc)* )armon* an )ol ing )omes o% insig)t inspiration to or ergrowing upon balance be)a ior ensuring breat) ps*c)e soul wellness an uietness customi0ing concretecomputing aroun neat networ ing o% burrows an narrows. Otructural %acts o% )istor* aspects s)oulengen er reasonable control o% pro i ing proo%s to complain aware examination o% exerting existence belongto liable 'or s laws an to per%orm trust mount management o% mutation integration, w)ic) coul pro i erecti%*ing correction along o er all re uire nee s to e aluate ali ariation o% w)at it is currentl* a ailable.
6lt)oug), intellectual inspiration insig)t s)oul lin liable linguistic logics to or er %un amental mountmanagement o% trust tractabilit*, ali ariation o% balance bene%it be)a ior coul t)en e ol e engineeringexpertise %or proposal proo%s to allow a ising a ustment to maintain operation logics in ol ing insi e
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satis%action an to in o es growt) o% e entual wellness an uietness in or er sa%e s*mbolic %unctionalismor ers %inancial outlets.
want to ump align a iseinsi e m* li%e t)ere is not)ing to worr* about
wis) to reali0e somet)ing sa%ein ol es true trust
woul li e to loo %or tra el insi e trut) because m* li%e s)oul compl* wit) rawbac s o% )ig)er )ome
s)oul operate logic %lowue to concrete beware o% balance insig)t
coul result in clear e aluation()us, all across time uration is )an ling )our )armon*
n %act, t)ere are %i e trusting rules o% social sciences, w)ic) are
1. :eware to a oi an* guar ing gui e o% gloss* glee
2. an le )ierarc)* to pro i e proo%s %or somet)ing t)at coul bring upon own interest animportance.
3. ;esulting in realit* %as)ion %low s)oul return balance be)a ior o% glor* in ness as it sai Ni%tsare li e %is) )oo in ness!.
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4. n est an* in ol ing inspiration insig)t to a oi un ust expertise.
". ol own c)airman state across an* correspon ing trip tr* uring timing traceabilit* an trusttractabilit*.
6lt)oug), using utilit* o% ali ariation o% t)is balance be)a ior s)oul obe* to mapping pair t)eor* baseupon true mo eling mo es rea * to eplo* t)is e ui alence exploitation o% correspon ing computing acrossmo eling mo es o% basic built in be)a ior o% balance bene%it, w)ic) is using
pair = 'og 1 + expH J! /
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Dair =( f2 1+ f2 ,
11+ f2
) ,∀ function = f
A en t)oug), surroun s*mbolic %unction or er optimal %lows coul be simpl* use as e%ine to measure o%uncertaint* w)ic) is e ual to t)e estimate amount or percentage b* w)ic) an estimate or calculate aluema* i%%er %rom t)e true alue! or certaint* t)at is e ual to t)e ualit* o% being establis)e as true!.()ere%ore, t)is control computing aroun stoc)astics s*nc)roni0ation t)roug) using utilit* o%
-. sin2, cos2, e5)(!f21, e5)(!-6f21, f26(-7f21, -6(-7f21, %n(-7 f216(-7 %n(-7f211, f2.e5)(16(- 7 f2.e5)(11, ....
U)ic) coul en isage expertise en ironment o% engineering exploitation, w)ic) s)oul use uncertaint* orcertaint* *namics to %ill in %eat)ering optimi0ation o% correspon ing computing customi0ation.
ence, liable linguistic logics, w)ic) s)oul use compact resulting in realit* %as)ion %low o% ali e aluationcoul t)en eplo* surroun set = < metric amount!, ri en aim!!, instill transition!, in%use ata!,
custom e ent!, trust time!!, wa* ;esults in x, mount (ra els or ;eturns *!! to in est intellectualinspiration insig)t wit)in an* isposal proposal tra el trips o% trust traceabilit* generating sa%e s*mboli0ationo% )uman potential o*s against inner breat) ps*c)e soul satis%action, w)ic) coul remo e an* ambiguit*concerning su%%ering scener* s)ows.
()us, using t)is surroun set = < metric amount!, ri en aim!!, instill transition!, in%use ata!,custom e ent!, trust time!!, wa* ;esults in x, mount (ra els or ;eturns *!! to encircle engineering
exploitation %or an* potential pro uction o% intelligence arc)itectures coul t)en buil basic built in be)a ioro% neat narrows, w)ic) eal wit) burrowing growt)s o) )ig)er )ierarc)* )omes in o es ma or main
principles o% )ow to go ern an )ow to measure realit* %as)ionable %lows.
()ere%ore,1. w)* s)oul it be measurable9 (o be rea * %or %urt)er treatment.
2. U)* s)oul it be aim ob ect9 (o per%orm proposal processing.
3. w)* s)oul it %in transition align o er all translation traceabilit*9 (o use trust tractabilit* %ora ising a ustment a ances.
4. w)* s)oul it %ill in ata %or computing t)rea tas s9 (o e ol e engineering exploitation o% *ar ingali e aluation an exciting ariation o% mapping pair = ar , clear!, w)ic) coul be use toin o e or wa e up en elop structures. ()ese en elop structures coul be in ol ing wit)in mo elingmo es, w)ic) are
i. en elop = sin2Fcos2F(sin2 G cos21 en'elo) = E sin2.cos2. ( sin2 − cos2 )
ii. en elop = shado8FrealF(shado8 G real16 (real 7 shado81
en'elo) = shado8.real. ( shado8 − real )( shado8 + real )3
". w)* s)oul it sc)e ule custom e ent! = customi0ing a ising parameter %unction o% en isage e ent!to en)ance unit utilit* o% clear great growt) )an ling breat) ps*c)e soul glee gui e9 (o guarantee
balance bene%it s basic built in be)a ior. ()ere%ore, balance bene%it eals wit) mapping pair =un ust, genuine!. Aac) trust tractabilit* s)oul t)en oin potential parametri0ation across in uir*uestion string 7t)is genuine = ali r t)is is un ust = not ali 7.
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#. w)* s)oul it o er ri e ropping time = n.(, t)at is e uals to sli ing slice win ows simulations)ows w)ic) are concerning perio ic processing!9 (o e elop ri en *namics o% surroun s)inesmanipulates raw escriptions o% mount management t)at s)oul control robustness an wellness o%correspon ing intellectual insig)t. ()us, mimetic-%u00* approac)es )a e to in est aspect e%%ortswit)in an* ali ariation o% trust tractabilit* an tra el trips o% ri en ata, w)ic) s)oul maintain)uman esirable wis)es.
$. U)* s)oul it use t)is mapping pair = wa* ;esults in x, mount (ra els or ;eturns *!9 Vue toengineering exploitation o% control ata %low grap)s t)eor* an c)art traceabilit* mountmanagement tractabilit*. ()ere%ore, %or an* en isage e ge, it s)oul belong to trans%er ortranslation s ata, w)ic) coul be eas* con erte to t)is in uir* uestion string 7wa* ;esults in x =amount uantit* rolling awa* to bring aware nowle ge culture %or its concerning processing no e7.()is processing no e )an les t)en t)eoretical in uir* uestion string 7no es s)oul be epicting b*7mount (ra els or ;eturns *77.
n %act, as best art class example o% t)is )uman breat) ps*c)e soul s)ow, engineering exploitation o% people parliament, w)ic) is rea * to )an le )ol ing )ierarc)* )omes o% in uir* uestion string 77ratio o% car e entset! to car surroun set!7, w)ere surroun set = total encircling set t)at s)oul contain concrete iscretee ent s sets, w)ic) coul be c)osen across time to manipulate %urt)er processing7. Loreo er, engineeringexploitation o% people parliament s)oul use t)is car e ent set! / car surroun set! ratio o% car e ent sset! to car surroun set! ! to eplo* )uman abilit* uring ri en esign o% art class emocrac* escription.engineering exploitation o% people parliament =card(e'entI set1 6 card(surround set1 = ratio ofcard(e'entIs set1 to card(surround set1
Dro)osal ( 5i∈ J / J ={ 5i# }i= 8,1 ,... , K )=
card ( 5i )card ( J )
ence, ri en e%inition o% car inal computing car inal = somet)ing o% %oremost importanceE paramount =somet)ing ar to eep or i i re ! coul )elp )ol ing )ierarc)* )ome o% probabilit* processing to pro uce
esirable raw escription o% )uman reac)ing realit* %as)ionable %low.
ig)er )ierarc)* )omes o% exploitation engineering to ealwit) mac)ine s pro uction process Machine shouldsurround next state machine scenery shows through itsinvasive implementation insight =
Dro)osal ( 5i∈ J / J ={ 5i# }i= 8,1 ,... , K )=
card ( 5i )card ( J )
6lt)oug) car inal computing, w)ic) )as eep ri en esign o% a ising arc)itecture car inal = one o% agroup o% more t)an 188 prominent bis)ops in t)e Oacre Follege w)o a ise t)e ?ope an elect new ?opes!)as to )elp )ol ing )ierarc)* )ome to go )ig)er )armon* o% inspiring intellectual insig)t. ()ere%ore, Flau eAlwoo O)annon w)o is a _nite Otates electrical engineer w)o pioneere mat)ematical communicationt)eor* 1`1#-2881!! )as assigne %or a gi en iscrete in i i ual ran om ariable G associate measurablemec)anism title entrop* exploitation, w)ic) is base upon mat)ematical mo eling mo e = -sum
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set1 to card(surround set1 4 Dro)osal ( 5i∈ J / J ={ 5i
# }i= 8,1 ,... , K )=card ( 5i )card ( J )
Antrop* = ! su/9)(51 .%og )(51 = %or an* e ent x insi e G = proposal transition translation traceabilit* &&
tra elling trip o% trust tractabilit* Entro)y ( 5∈ J / J ={ 5i
# }i= 8,1 ,... , K )=−∑i= 8
K
( ) ( 5i ) log ( ) ( 5i )))
n %act, w)at is ali a ailable is to searc) surroun p x! %or an* e ent x insi e G. :ecause p x! )as probabilit* sens, )(51 coul t)en be e%ine eas* t)roug) )(51 4 ratio of card(51 to card(J1 . ()ere%ore, probabilit* = ()e ualit* or con ition o% being probableE li eli)oo ! burrow main mount management o%%as)ionable %low to pro uce car inal computing generates basic built in be)a ior o% balance bene%its. ence,
probabilit* = t)e relati e possibilit* t)at an e ent will occur, as expresse b* t)e ratio o% t)e number o%actual occurrences to t)e total number o% possible occurrences = t)e relati e %re uenc* wit) w)ic) an e entoccurs or is li el* to occur.! coul t)en be use as utilit* tool %or an* proposal isposal iscrete e entsimulation en ironment. 5urt)ermore, probabilit* processing coul t)en integrate ma or principles o%%re uenc* %as)ionable %low as it is inspire %rom an* proposal Anglis) ictionar* liable linguistic logics.
()us, car inalit* a science or group o% relate sciences! ealing wit) t)e logic o% uantit* an s)ape anarrangement! coul t)en e ol e engineering exploitation o% sa%e scienti%ic %ait)%ul operations %eat)er outlets.6lt)oug), ali ar