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 "name": "Reputation Treatment Qualifies Institutional Layer Experiment",
 "text": "Knutsen and Heggedal qualify Kaal's experimental design. Their laboratory study compares three repeated-game conditions. The control reveals no history. A second treatment exposes past actions. A third treatment adds induced commitment types and permits reputation formation. Efficient coordination in late supergames rises from 5 percent in the control to 50 percent with history and 84 percent with the reputation treatment. The design supports isolating a reputation mechanism by varying the institutional layer around a fixed underlying game. Its scope is narrower than Kaal's program. The subjects are human players in repeated coordination games. The source does not use heterogeneous AI agents, conventional ground-truthed tasks, or a combined reputation-and-incentive layer. It also does not compare that combined layer with its absence. The external experiment therefore supports the treatment logic but does not validate Kaal's registered agent-cohort design or results.",
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  "The experiment studies human long-lived and short-lived players, not AI agents.",
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  "citation": "Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018",
  "paper": "Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort",
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