This study is an expansion by AI of twelve decision records published by AEGIS, a studio in the RISCON family. Every case is an authored synthetic setting: AEGIS marks each one realistic synthetic, calls it a fictional case for training, and says that its institutions and events are settings and its figures and thresholds are training assumptions. AEGIS published the records in Korean; the English in this study is a translation made once by the editorial session of this study, sentence by sentence, and each case's English seed names the Korean original by its hash. Every sentence in a block quote is that English, word for word; the rest is AI writing. No case carries a completed decision: each carries the author's marked recommendation and waits for input. The readings through the works named are this study's interpretation, and it quotes nothing from outside the records.
The records were read on 2026-10-06. This book was written on 2026-10-07.
Bibliography
- Cass R. Sunstein and Edna Ullmann-Margalit, Second-Order Decisions (1999).
- Jon Elster, Ulysses Unbound: Studies in Rationality, Precommitment, and Constraints (2000).
- James A. Dewar, Assumption-Based Planning: A Tool for Reducing Avoidable Surprises (2002).
- Marjolijn Haasnoot and others, Dynamic Adaptive Policy Pathways: A Method for Crafting Robust Decisions for a Deeply Uncertain World (2013).
- Jeroen P. van der Sluijs and others, Combining Quantitative and Qualitative Measures of Uncertainty in Model-Based Environmental Assessment: The NUSAP System (2005).
- Theodore M. Porter, Trust in Numbers: The Pursuit of Objectivity in Science and Public Life (1995).
- James A. Hanley and Abby Lippman-Hand, If Nothing Goes Wrong, Is Everything All Right? (1983).
- Brian A. Nosek and others, The Preregistration Revolution (2018).
- Cass R. Sunstein, Laws of Fear: Beyond the Precautionary Principle (2005).