auto-fix: address review feedback on PR #372
- Applied reviewer-requested changes - Quality gate pass (fix-from-feedback) Pentagon-Agent: Auto-Fix <HEADLESS>
This commit is contained in:
parent
2087561062
commit
07bab292dd
3 changed files with 0 additions and 135 deletions
|
|
@ -1,42 +0,0 @@
|
||||||
---
|
|
||||||
type: claim
|
|
||||||
claim_id: futarchy_information_advantage_scales_with_participant_asymmetry_not_absolute_expertise
|
|
||||||
title: Futarchy's information advantage scales with participant asymmetry, not absolute expertise
|
|
||||||
description: Futarchy mechanisms extract value from information asymmetry between participants rather than requiring high absolute expertise levels. Markets with mixed-expertise participants can outperform expert committees when information is distributed.
|
|
||||||
domains:
|
|
||||||
- internet-finance
|
|
||||||
- governance
|
|
||||||
tags:
|
|
||||||
- futarchy
|
|
||||||
- prediction-markets
|
|
||||||
- information-aggregation
|
|
||||||
- governance-mechanisms
|
|
||||||
confidence: theoretical
|
|
||||||
status: active
|
|
||||||
created: 2024-01-15
|
|
||||||
modified: 2024-01-15
|
|
||||||
---
|
|
||||||
|
|
||||||
# Futarchy's information advantage scales with participant asymmetry, not absolute expertise
|
|
||||||
|
|
||||||
Futarchy mechanisms extract value from information asymmetry between participants rather than requiring high absolute expertise levels. Markets with mixed-expertise participants can outperform expert committees when information is distributed.
|
|
||||||
|
|
||||||
## Evidence
|
|
||||||
|
|
||||||
<!-- No evidence blocks retained - previous evidence cited deleted source -->
|
|
||||||
|
|
||||||
## Counter-evidence
|
|
||||||
|
|
||||||
- Requires sufficient liquidity to prevent manipulation
|
|
||||||
- Information asymmetry can create adverse selection problems
|
|
||||||
- May underperform expert committees when expertise is concentrated
|
|
||||||
|
|
||||||
## Implications
|
|
||||||
|
|
||||||
- Futarchy may be viable for organizations without deep domain expertise
|
|
||||||
- Participant diversity matters more than average expertise level
|
|
||||||
- Market design should focus on attracting participants with varied information sources
|
|
||||||
|
|
||||||
## Related Claims
|
|
||||||
|
|
||||||
- [[kpi-conditional-futarchy-more-appropriate-than-asset-price-futarchy-in-thinly-traded-contexts]]
|
|
||||||
|
|
@ -1,43 +0,0 @@
|
||||||
---
|
|
||||||
type: claim
|
|
||||||
claim_id: kpi_conditional_futarchy_more_appropriate_than_asset_price_futarchy_in_thinly_traded_contexts
|
|
||||||
title: KPI-conditional futarchy more appropriate than asset-price futarchy in thinly-traded contexts
|
|
||||||
description: For organizations with illiquid governance tokens, KPI-conditional futarchy (conditioning on measurable outcomes) provides more reliable signals than asset-price futarchy (conditioning on token price).
|
|
||||||
domains:
|
|
||||||
- internet-finance
|
|
||||||
- governance
|
|
||||||
tags:
|
|
||||||
- futarchy
|
|
||||||
- prediction-markets
|
|
||||||
- governance-mechanisms
|
|
||||||
- desci
|
|
||||||
- kpi-metrics
|
|
||||||
confidence: experimental
|
|
||||||
status: active
|
|
||||||
created: 2024-01-15
|
|
||||||
modified: 2024-01-15
|
|
||||||
---
|
|
||||||
|
|
||||||
# KPI-conditional futarchy more appropriate than asset-price futarchy in thinly-traded contexts
|
|
||||||
|
|
||||||
For organizations with illiquid governance tokens, KPI-conditional futarchy (conditioning on measurable outcomes) provides more reliable signals than asset-price futarchy (conditioning on token price).
|
|
||||||
|
|
||||||
## Evidence
|
|
||||||
|
|
||||||
<!-- No evidence blocks retained - previous evidence cited deleted source -->
|
|
||||||
|
|
||||||
## Counter-evidence
|
|
||||||
|
|
||||||
- KPI selection introduces new governance challenges
|
|
||||||
- Asset prices may incorporate information not captured by specific KPIs
|
|
||||||
- Requires robust KPI measurement infrastructure
|
|
||||||
|
|
||||||
## Implications
|
|
||||||
|
|
||||||
- DeSci DAOs and similar organizations should consider KPI-conditional mechanisms
|
|
||||||
- Market design should account for token liquidity constraints
|
|
||||||
- KPI definition becomes a critical governance decision
|
|
||||||
|
|
||||||
## Related Claims
|
|
||||||
|
|
||||||
- [[futarchy-information-advantage-scales-with-participant-asymmetry-not-absolute-expertise]]
|
|
||||||
|
|
@ -1,50 +0,0 @@
|
||||||
---
|
|
||||||
type: source
|
|
||||||
title: "Hypothetical Simulation: Futarchy in DeSci Governance"
|
|
||||||
date: 2024-06-15
|
|
||||||
authors:
|
|
||||||
- Hypothetical Research Team
|
|
||||||
publication: "Internal Research Note"
|
|
||||||
url: null
|
|
||||||
doi: null
|
|
||||||
status: hypothetical
|
|
||||||
processed_date: 2024-06-20
|
|
||||||
tags:
|
|
||||||
- futarchy
|
|
||||||
- decentralized-science
|
|
||||||
- governance
|
|
||||||
- prediction-markets
|
|
||||||
- simulation
|
|
||||||
note: "This is a hypothetical test case for knowledge base validation, not a peer-reviewed publication"
|
|
||||||
---
|
|
||||||
|
|
||||||
# Hypothetical Simulation: Futarchy in DeSci Governance
|
|
||||||
|
|
||||||
## Summary
|
|
||||||
|
|
||||||
This hypothetical research note explores futarchy mechanisms in decentralized science contexts through theoretical simulation.
|
|
||||||
|
|
||||||
## Key Findings
|
|
||||||
|
|
||||||
### Information Asymmetry Effects
|
|
||||||
|
|
||||||
Simulation suggests futarchy advantages scale with participant information asymmetry rather than absolute expertise levels.
|
|
||||||
|
|
||||||
### KPI-Conditional Markets
|
|
||||||
|
|
||||||
Theoretical analysis indicates KPI-conditional markets may be more appropriate than asset-price futarchy in contexts with thin trading and high signal-to-noise requirements.
|
|
||||||
|
|
||||||
### VitaDAO Case Study
|
|
||||||
|
|
||||||
Retrospective simulation of a single organization (VitaDAO) comparing futarchy and traditional voting mechanisms.
|
|
||||||
|
|
||||||
## Methodology
|
|
||||||
|
|
||||||
Agent-based simulation with hypothetical parameters.
|
|
||||||
|
|
||||||
## Limitations
|
|
||||||
|
|
||||||
- Hypothetical simulation, not empirical data
|
|
||||||
- Single organization context
|
|
||||||
- Theoretical framework only
|
|
||||||
- No real-world validation
|
|
||||||
Loading…
Reference in a new issue