What question did this study set out to answer?

The central aim is to develop a dual-layer architecture for cognitive systems to function effectively under non-ideal conditions.

January 26, 2026Open Access

View Full Paper

Dual-Layer Architecture for Adaptive Cognitive Systems under Non-Ideality

Key Points

The central aim is to develop a dual-layer architecture for cognitive systems to function effectively under non-ideal conditions.
Derivation of a dual-layer framework
Separation of immutable and adjustable system components
Application of the model to artificial and human cognitive contexts
Established a balance between stability and adaptability in the framework
Demonstrated applicability to both artificial systems and human cognition under uncertainty

Abstract

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.

AIに質問

Bookmark

View Full Paper

Cite This Study

David Grossi Fernandez (Sat,) studied this question.

synapsesocial.com/papers/697703d3722626c4468e8dca https://doi.org/https://doi.org/10.5281/zenodo.18362601

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

AIに質問

Bookmark

View Full Paper