Normalization of p

PreviousFormulas for Prestige NextPrestige for all edge cases

Last updated 1 day ago

Normalization of p

Normalized-p is calculated through:

\displaystyle p' = \frac {p} {p_{ max}}

It uses the highest value of a specific parameter across all Hubs measured during the given period. The weights for the different Parameters (below) can be set by the individual Hubs - and are set by our Hub for the edge limits.

In total, the sum of the weights must always be equal to 100 - in alignment with the models used for Discrete Commitment and Reputation staking in the Āutonomy Matrix.

The Prestige of a Hub, at the current period ( $\mathfrak P_{\tiny n}$ ), is updated by multiplying the change rate (ΔK) to the previous period's Prestige ( $\mathfrak{P}_{\tiny (n-1)}$ ).

PreviousFormulas for Prestige NextPrestige for all edge cases

Last updated 1 day ago

Normalized-p is calculated through:

\displaystyle p' = \frac {p} {p_{ max}}

In total, the sum of the weights must always be equal to 100 - in alignment with the models used for Discrete Commitment and Reputation staking in the Āutonomy Matrix.

The Prestige of a Hub, at the current period ( $\mathfrak P_{\tiny n}$ ), is updated by multiplying the change rate (ΔK) to the previous period's Prestige ( $\mathfrak{P}_{\tiny (n-1)}$ ).