Cindicator ICO

Contents
1 Introduction to Hybrid Intelligence
3
IFI ‡h—t is ry˜rid sntelligen™ec F F F F F F F F F F F F F F F F F F F Q
IFP ere—s of —ppli™—tion F F F F F F F F F F F F F F F F F F F F F F F F Q
IFPFI †enture investments F F F F F F F F F F F F F F F F F F F F Q
IFPFP ƒ™ien™e F F F F F F F F F F F F F F F F F F F F F F F F F F F R
IFPFQ gorpor—tions —nd ˜usinesses F F F F F F F F F F F F F F F F R
IFPFR €oliti™s F F F F F F F F F F F F F F F F F F F F F F F F F F F S
IFQ ry˜rid sntelligen™e for investments —nd —sset
m—n—gement F F F F F F F F F F F F F F F F F F F F F F F F F F F F F S
2 Ecosystem of Hybrid Intelligence
5
PFI golle™tive intelligen™e F F F F F F F F F F F F F F F F F F F F F F F T
PFP erti(™i—l intelligen™e F F F F F F F F F F F F F F F F F F F F F F F F U
3 Token sale
7
QFI ixpedien™y of issuing gxh tokens F F F F F F F F F F F F F F F F V
QFIFI i'e™tive e™onomi™ motiv—tion of —ll e™osystem p—rti™ip—n...

7 Team and stages of development
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UFI „e—m F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F QI
UFP gurrent progress of the ™omp—ny F F F F F F F F F F F F F F F F F QP
8 Legal considerations
33
VFI veg—l F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F QQ
VFP veg—l st—tus of gxh tokens F F F F F F F F F F F F F F F F F F F F QQ
VFQ veg—l st—tus of ™rowdsour™ed fore™—sting pl—tforms F F F F F F F QQ
9 Conclusion
34
10 Risk factors and disclaimers
34
References
36
P
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1 Introduction to Hybrid Intelligence
1.1 What is Hybrid Intelligence?
ry˜rid sntelligen™e is the ™om˜in—tion of hum—n intelligen™e —nd m—™hine intelE
ligen™eD —nd their inter—™tion in resolving v—rious t—sksF yne sort of intelligen™e
supplements —nd strengthens the otherF
gle—rlyD one m—y f—™e m—ny ™h—llenges during the de™isionEm—king pro™essF
ry˜rid sntelligen™e —nd other rel—ted systems under development —re —pproE
pri—te for resolving these kinds of di0™ultiesF „his is not only due to the
™riterion of speed in de™isionEm—king E n—melyD the question of why one should
w—ste time on simple t—sks th—t ™—n ˜e resolved ˜y ˜oth individu—ls —nd simple
m—them—ti™—l methods —nd —lgorithmsc st is —lso rel—ted to the ™omplexity of
the t—sks —nd the level of un™ert—inty in the systems used to resolve themF
sn one of his l—test interviews E ilon wusk spe™ul—tes th—t hum—ns should
soon merge with —rti(™i—l intelligen™e —nd ™reÂ...

1.2.2 Science
„he sym˜iosis of these two types of intelligen™e ™ouldD in this ™—seD e0™iently
downpl—y the dis—dv—nt—ges of hum—n 9emotion—l9 —ppro—™hes ˜y strengthenE
ing the de™isionEm—king sign—l with — num˜er of de™entr—lised d—t— —n—lysis
pointsF …sing su™h — method is re—son—˜le in systems with higher un™ert—inty
—nd highly ™omplex of t—sksD for ex—mple in ˜iote™hnologiesF sn — renowned s™iE
enti(™ p—perD rese—r™hers ™re—ted — g—me in whi™h e—™h pl—yer with — di'erent
degree of knowledge ™ould t—ke p—rt in mole™ul—r do™king @— pro™ess th—t helps
predi™t the stru™ture of — future ™hemi™—l element with ™ert—in desired properE
tiesAF i—™h proje™t p—rti™ip—nt ™ould ˜ind — mole™ule of the protein together
in —ny w—yF …sing this ™rowdsour™ed d—t— from — v—riety of experts ™om˜ined
with virtu—l s™reening @™omputer modeling —nd m—™hine le—rningA en—˜les s™iE
entists to ™re—te new medi™ines ˜y ...

1.2.4 Politics
gert—inlyD — simil—r te™hnology ™—n ˜e used for politi™—l purposesF e noteworE
thy ™—se is — wellEknown student proje™t l—un™hed in IWVVD the sow— ile™troni™
w—rketF st turned out to ˜e one of the most pre™ise tools for predi™ting the
results of politi™—l events —nd ele™tions for most ™ountries —round the worldF
€—rti™ip—nts in this 9m—rket9 ™—n ˜uy or sell ™ontr—™ts for the v—rious results
of future politi™—l events @simil—r to short —nd long positions on the sto™k exE
™h—ngeAD thus forming expe™t—tions —nd determining the ex—™t pro˜—˜ility of
vi™tory for one or —nother presidenti—l ™—ndid—teF por two de™—desD this te™hE
nology h—s ˜een predi™ting the results of …ƒ presidenti—l ele™tions with gre—t
pre™isionD when ™omp—red with —ny —n—lyst or ™omp—ny @until the most re™ent
ele™tion in™ident—llyAF
1.3 Hybrid Intelligence for investments and asset
management
…ndou˜tedlyD sto™k ex™h—n...

E will f—n™or ™olle™t more th—n IHH million during the (rst week of sgycY
E wh—t is the pro˜—˜ility of „rump9s impe—™hment during the next three
monthsc
gindi™—tor works ˜y using — l—rge d—t—set th—t is tr—nsferred to — m—them—tE
i™—l ˜lo™k ™onsisting of — m—™hine le—rning model ensem˜le @™le—ningD ™lustering
methodsD line—r regressionsD f—yesi—n modelsD xg˜oost on de™ision treesD geneti™
—lgorithmsD —nd neur—l networksAF w—™hine le—rning models dyn—mi™—lly ™—l™uE
l—te v—rious weightings for e—™h fore™—sterD identify st—˜le system—ti™s in their
errors —nd ™—l™ul—te ™orre™tions for the errorsD elimin—te noiseD —nd gener—te
(n—l predi™tions —nd tr—ding sign—lsF
et the ™ore of our ry˜rid sntelligen™e system is the synergy of the ™olle™tive
intelligen™e of — l—rge group of dissimil—r de™entr—lised —n—lysts ™om˜ined with
—rti(™i—l intelligen™e @m—™hine le—rningD —nd — selfEle—rning model ˜—sed on Â...

r—nkingsF e™™ordinglyD e—™h user9s ™ompens—tion depends on their person—l —™E
tivities —nd the —™™ur—™y of the fore™—stsF
Competitive motivation.
‡e h—ve developed intern—l user r—nkingsD spe™i—l nomin—tionsD —nd other g—mE
i(™—tion elements to enh—n™e the ™ompetition f—™torF
Involvement with trades and investment.
yn our pl—tformD users do not merely fore™—st in order to m—ximise their pointsY
e—™h fore™—st is — mi™roEinvolvement of every user in — re—l or simul—ted tr—dE
ing tr—ns—™tion or investmentF yur tr—ding ro˜ots ™omplete — re—l or model
tr—de linked to every question posedF „his is — signi(™—ntly promotion of the
involvement of every p—rti™ip—ntD ˜oth individu—ls —nd the group —s — wholeD
—nd in™re—ses responsi˜ilityF
Training.
qetting d—ily feed˜—™k on the —™™ur—™y of their fore™—sts —s well —s in™re—sing
their level of knowledge ˜efore prep—ring e—™h predi™tion helps fore™—sters ...

tokens does not viol—te lo™—l l—wsAD g—in —™™ess to new produ™tsD or sell them
to interested tr—dersD —n—lystsD or investment fundsF „okens ™—nnot ˜e sold
to residents of the …ƒeD ƒing—poreD €‚gD or other ™ountries where the s—le of
tokens m—y require registr—tion —s — se™urityF
vegisl—tion on the ™ir™ul—tion of se™urities in ™ert—in ™ountriesD su™h —s the
…ƒeD ƒing—pore —nd €‚g prohi˜its the s—le of gxh tokens to the residents
of those ™ountriesF ‡hen you ˜uy gxh tokensD you should ˜e —w—re of the
restri™tions on their su˜sequent s—le —nd promise to follow our instru™tions
—ndGor those of the ex™h—nge when reselling them to other usersF
3.1 Expediency of issuing CND tokens
„he issu—n™e of our own infr—stru™ture tokens is ™onditioned ˜y the need to
™re—te —n intern—l e™onomy in the e™osystem th—t will est—˜lish tr—nsp—rent
—nd f—ir rel—tions —mong —ll p—rti™ip—nts ™omprising the systemX fore™—sters
—n...