Āut Labs
  • Āut Labs
  • The Āutonomy Matrix
  • $AUT Token
  • Framework Intro & Components
    • Āutonomy Matrix
    • The Participation Score
      • More about Expected Contributions
    • ĀutID: a Member< >Hub bond
    • Interactions, Tasks & Contributions - a context-agnostic standard.
    • Contribution Points
      • Calculating eCP and other dependent & independent params
    • The Hub - or, the whole is greater than the sum of its parts.
    • Roles on-chain. If there is Hope, it lies in the Roles
    • Commitment Level as an RWA
      • Discrete CL Allocation
    • Peer Value
      • Flow & aggregation of value
  • 🕹️Participation Score
    • Design Thinking
      • Problems with traditional Local Reputation parameters
      • Innovation Compared to other “Local Reputation” protocols
      • Hub<>Participant Accountability & Rewards
    • Core Parameters
    • Formulæ
    • Edge Cases
      • 1. The Private Island
      • 2. Cannibal Members
      • 3. The Ghost & the House on Fire
    • PS Formula for all Edge Cases
    • Conclusions
  • 🎇Prestige
    • Prestige: introducing measurable credibility for a DAO
    • Need for a DAO to measure its KPIs overtime (on-chain)
    • Archetypes
      • Defining an Organizational Type
      • Existing Organizational Types
      • Deep-dive: Calculating current Parameters (p)
    • Formulas for Prestige
      • Normalization of p
    • Prestige for all edge cases
      • Relationship between Prestige & Archetype parameters
    • How to expand Prestige through external Data Sources
    • Use-cases & Conclusions
  • 🌎Peer Value
    • Initial Applications
    • Relationship between Participant, Hubs & Peer Value
    • Peer Value (v) as a directed graph
      • Calculating normalized Participation Score (PS'')
      • Calculating normalized Prestige (P'')
      • Calculating the Contributor Archetype (a)
    • The Peer archetype
      • Formulæ for α & deep-dives
      • Formulæ for β & deep-dives
      • Formulæ for γ & deep-dives
    • Conclusions & Initial Applications
  • ⚽Appendices & Playgrounds
    • PS Simulations
    • PS Playground
    • Prestige Simulations
    • Prestige Playground
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  1. Framework Intro & Components
  2. Contribution Points

Calculating eCP and other dependent & independent params

EC is the most important parameter in the Āut's Participation framework.

It determines the expected contributions of a contributor of a Hub during a specific period.

It’s based on the Commitment Level chosen by the Individual Member, and it’s necessary to determine the ratio between the promise / commitment of a contributor, and their actual participation.

It’s calculated as:

EC=fiCL×TCPEC = fiCL \times TCPEC=fiCL×TCP

where:

  • TCP: Total Contributions Points in a Community. Sum of all contributions points available in a community in a given period. They can be acquired by members by completing tasks and interactions. Each Task and Interaction has a custom weight (spacing between 1 and 10).

  • fiCL: Fractional Commitment Level per Individual


Deep-dive: Fractional Commitment Level

The Fractional Commitment Level is the iCL of a Hub’s participant (j) in relation to the total.

It is calculated as fiCLj=iCLjiCLtotfiCL_{j} = \frac{iCL_{j}}{iCL_{tot}}fiCLj​=iCLtot​iCLj​​ where iCLtotiCL_{ tot}iCLtot​ is the sum of all Participants’ iCL, calculated as the ratio between and individual’s commitment level, and the sum of all the commitment levels of all Participants to a Hub in a given period:

fiCL=iCLiCLtotfiCL = \frac{iCL}{iCL_{tot}}fiCL=iCLtot​iCL​

with:

  • iCLjiCL_{j}iCLj​: individual Commitment Level of j

  • tiCLtiCLtiCL: sum of all iCLs of participants in the Hub [h⋅][\tt h \cdot][h⋅]: tiCL=∑iCL[h⋅]tiCL = \sum iCL_{[\tt h \cdot]}tiCL=∑iCL[h⋅]​


EC’ = normalized EC accounting the time factor ΔT

We may consider a time factor (tftftf or ΔT\Delta{T}ΔT) to determine EC based on the time left in a period:

EC′=EC×Δ(T)EC' = EC \times \Delta(T)EC′=EC×Δ(T)

where:

  • ΔT is calculated as =TlTi\Delta{T} \text{ is calculated as }= \frac {T_{l}} {T_{i}}ΔT is calculated as =Ti​Tl​​

  • Tl is the time left in a period TT_{l} \text { is the time left in a period } TTl​ is the time left in a period T;

  • Ti is the total time at the start of the period TT_{i} \text{ is the total time at the start of the period }TTi​ is the total time at the start of the period T;

This way it's possible to create a generalized abstraction to factor in participants who join a community after the start of the period T.

This works simply by accounting all absolute time available in a community in relation to each individual member:

∑(ΔT)=∑(Tl)∑(Ti)\sum (\Delta_{T}) = \frac {\sum (T_{l})} {\sum (T_{i})}∑(ΔT​)=∑(Ti​)∑(Tl​)​, from which we extrapolate a fractional ΔT as →(fTlfTi)×T\Delta{T} \text{ as }\rightarrow(\frac {fT_{l}} {fT_{i}}) \times TΔT as →(fTi​fTl​​)×T

This allows for a continuous calculation of EC for all members in different, arbitrarily small intervals within the same period T.

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Last updated 11 months ago