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  1. Participation Score
  2. Edge Cases

3. The Ghost & the House on Fire

What to do in case of fire Member’s Withdrawal.

Since Āut's PS framework introduces a "staking-your-reputation" algorithm of sort, where PS is a measure of someone's credibility in the ecosystem, as well as a vector to attract and grow continuous, recurring income - then it'd make sense to introduce a Withdrawal fee (wtf).

A predictive coefficient that penalizes the withdrawing-Participants based on the negative impact of their premature abandonment ("ghosting") of the Hub.

In this case, we could take the Generalized Formula:

PSn′=min(PSn,c×PSn−1)PS_{n}' = min(PS_{n}, c \times PS_{n-1})PSn′​=min(PSn​,c×PSn−1​)

And - in case of withdrawal - trigger a new step of normalization for PS.

It would be calculated as:

PSn′′=PSn′×wtfPS_{n}'' = PS_{n}' \times wtfPSn′′​=PSn′​×wtf

where wtf is the Withdrawal Fee, calculated as:

wtf=min(p⊖,TcTi)wtf = min(p_{\tiny\ominus}, \frac {T_{c}} {T_{i}})wtf=min(p⊖​,Ti​Tc​​)

where:

  • TcT_{c}Tc​ is the Time Completed in the period

  • TiT_{i}Ti​is the Initial Time, the total time at the start of a period

This way, at any point, we will have a wtf≤p⊖wtf \le p_{\tiny\ominus}wtf≤p⊖​, ensuring that wtf would have an equal or lower impact on Member's Rep than the Penalty Factor ( p⊖p_{\tiny \ominus}p⊖​) for extended inactivity in a given period.

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Last updated 10 months ago

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