kaal:position:2026-07-31-7760

Towards a Cognitive Meta-Model for Adaptive Trust and Reputation in Open Multi-Agent Systems presents the following source proposition: Computational trust and reputation models are key elements in the design of open multi-agent systems. This proposition is pertinent to Kaal's source-bound claim that Reputation based governance allocates decision power by past contribution and community standing, which promotes transparency and trust, but reputation is difficult to measure objectively. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.

• The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
• External evidence level: abstract indexed.
• Mapping review tier: moderate-confidence claim review.
• Primary mapping confidence: 0.4372.
• The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

Towards a Cognitive Meta-Model for Adaptive Trust and Reputation in Open Multi-Agent Systems

kaal:claim:5254152-004
Wulf A. Kaal, DAO Market Meta Analysis 2024 (2024). SSRN: https://ssrn.com/abstract=5254152
Source PDF sha256: bb2052d809a4615f0f3e2526ba6416293c40d00260149ba4fe6f38addf052796

Evidence: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.4372
Mapping ambiguous: true

reputationgovernance-designdaoresearch-methodshistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0010 on 2026-07-31. Review record.

Canonical markdown sha256: 6608c63ab27836cd4bc270c27ead418ae70675b9140150f87c52dcb815c95623
curl -s https://wulfkaal.github.io/positions/2026-07-31-7760.md | sha256sum