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. Participation Score

Core Parameters

PreviousHub<>Participant Accountability & RewardsNextFormulæ

Last updated 10 months ago

ccc : the constraining factor. It determines the maximum growth of PS from a period to the other. Especially useful with attack vectors such as Cannibal Members.

iCLiCLiCL : Commitment Level. Represents the commitment level (CL) of an individual member (i), ranging from 1 to 10.

TCPTCPTCP : 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).

tiCLtiCLtiCL : Total Commitment Level in the Community. Sum of all participants' Individual Commitment Levels (iCL). Calculated as ∑j=1niCLj\sum_{j = 1}^{n} iCL_{j}∑j=1n​iCLj​

fiCLfiCLfiCL : Fractional Commitment Level per Individual. Fraction of total commitment attributed to each member. It represents the weight that a member’s i has respect to the whole.

ECPECPECP : Expected Contribution Points. Calculated as fiCL×TCPfiCL \times TCPfiCL×TCP.

ECP′ECP'ECP′ : Normalized ECPECPECP that considers the Time Factor ( TTT)

GCPGCPGCP : Given Contribution Points. Actual contributions made by a member in a given period.

PS PSPS : the Participation Score of a Participant in a Hub [h⋅][\tt h \cdot][h⋅]. Each participant start with a PS=100PS = 100PS=100.

p⊖p_{\tiny \ominus}p⊖​ : the penalty factor in case of inactivity during a given period. With a default value of 0.4, then customizable.

P→\overrightarrow PP : the Performance of a Participant within a Hub - given by the ratio between given and expected contribution points ( GCPECP\frac {GCP}{ECP}ECPGCP​) in a given period T, using ECP'.

ΔT\Delta TΔT : a time factor that helps determine the actual EC based on the time left in a period —> EC′=EC×Δ(T)EC' = EC \times \Delta(T)EC′=EC×Δ(T)

wtfwtfwtf = Withdrawal Fee in case of a member leaving a community before the end of a period.

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