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
  2. Design Thinking

Innovation Compared to other “Local Reputation” protocols

The Participation Score (PS) in the Āutonomy Matrix directly ties individual participants to the Hubs they are contributing to - introducing a novel approach that differentiates it from traditional local reputation protocols:

  1. Dynamic Allocation:

    • PS dynamically adjusts based on real-time contributions and interactions, ensuring that the score accurately and fairly reflects current participation, and measures the value-add contributed by each individual participant.

  2. Mathematical framework:

    • As mentioned earlier, traditional systems focus solely on either (1) social feedback or (2) ownership of financial assets - on the other hand, the PS framework incorporates a broader range of self-assigned metrics, including Commitment Level (iCL), roles, and the Interactions undertaken by the contributor. This self-sovereign, multi-layered approach provides a more holistic, human perspective on a participant's contributions.

  3. Integration with ĀutID:

    • PS is directly linked to the unique ĀutID, required in order to join and contributing to a Hub. This creates a unified and portable reputation across different Hubs and platforms. Which in turns bring the continuity and provenance lacking in traditional reputation systems (decentralized and not).

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Last updated 10 months ago

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