| _version_ | 1866901687649697792 |
|---|---|
| author | Grossi Fernandez, David |
| author_facet | Grossi Fernandez, David |
| contents | <p>This paper derives a necessary dual-layer architecture for adaptive cognitive systems operating under non-ideal conditions. By separating a hard, immutable layer from a dynamic, adjustable one, the framework resolves the structural trade-off between stability and adaptive capacity. The model applies both to persistent artificial systems and to human cognition under uncertainty and irreversibility.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18362602 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dual-Layer Architecture for Adaptive Cognitive Systems under Non-Ideality Grossi Fernandez, David Cognitive architectures Adaptive systems Irreversibility Dual-layer models AI alignment Reflexivity Learning systems Structural safety <p>This paper derives a necessary dual-layer architecture for adaptive cognitive systems operating under non-ideal conditions. By separating a hard, immutable layer from a dynamic, adjustable one, the framework resolves the structural trade-off between stability and adaptive capacity. The model applies both to persistent artificial systems and to human cognition under uncertainty and irreversibility.</p> |
| title | Dual-Layer Architecture for Adaptive Cognitive Systems under Non-Ideality |
| topic | Cognitive architectures Adaptive systems Irreversibility Dual-layer models AI alignment Reflexivity Learning systems Structural safety |
| url | https://doi.org/10.5281/zenodo.18362602 |