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We discussed for a while one property of the ranking mechanism which rise huge concerns into the answering capabilities of cyber: lets call it true-false problem
true-false problem
let us imagine that true particle have cyberank 10, and false particle have cyberank 9
the environment allow to link any particle with any
that means that for any questions which cyberlinked to true and false the winning answer will always be true
of course such behavior does not feels like something superintelligent
we always emphasize that cyberank is a core ranking factor, but not the only one which is possible on top the cyber architecture
in order to solve true-false problem we have to compute weights of links in a context
in this post i introduce an algo i will call standard inference
does not introduce additional complexity
requires zero additional information
follow occam razor principle, that is it is as dumb and simple as possible
standard inference
get all particles cyberlinked with asking particle sorted by rank
for each particle get all cyberlinks
for each cyberlink get address
for each address
get [[V]] balance
get number of cyberlinks
compute average [[V]] per cyberlink
sum (average V) votes for every particle
multiplay rank of each particle by sum (average V)
cyber project without consensus around standard inference on top of cybergraph which solves true false problem seems very blurry to me
The text was updated successfully, but these errors were encountered:
We discussed for a while one property of the ranking mechanism which rise huge concerns into the answering capabilities of cyber: lets call it true-false problem
true-false problem
true
particle have cyberank10
, andfalse
particle have cyberank9
true
andfalse
the winning answer will always betrue
in this post i introduce an algo i will call standard inference
standard inference
cyber project without consensus around standard inference on top of cybergraph which solves true false problem seems very blurry to me
The text was updated successfully, but these errors were encountered: