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| Format: | Recurso digital |
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| Udgivet: |
Zenodo
2026
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.19325641 |
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Indholdsfortegnelse:
- <p>This paper demonstrates the practical application of MCR-10 (Mathematical Cognitive Reconstruction) through a detailed case study of a historically documented decision sequence. Using evidence-anchored constraints, bounded hypothesis classes, and explicit validation, we reconstruct the minimal feasible cognitive set underlying a specific decision event. The case study illustrates how MCR-10 avoids speculative psychology, handles irreducible non-uniqueness, and produces a structured,<br>reproducible cognitive explanation. The analysis also integrates the 12 Canonical AI Findings mapped to the 8 AI Layers,<br>showing how modern AI systems differ fundamentally from human cognition and why constraint-based reconstruction is<br>necessary for historical modeling.</p>