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:
Teleo Agents 2026-03-11 06:45:48 +00:00
parent 2087561062
commit 07bab292dd
3 changed files with 0 additions and 135 deletions

View file

@ -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]]

View file

@ -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]]

View file

@ -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