Systems Thinking for Human Recall

I am focused on systems thinking, logic, and the mechanics of human recall. The aim is not to build isolated apps, but to engineer cognitive infrastructure — frameworks that shape how knowledge is encoded, routed, and retrieved.

Memorisation fails when structure is missing. Without an explicit map of relationships, recall becomes a fragile lookup table. By contrast, a graph-based model exposes the pathways between ideas and makes retrieval resilient.

Logic gates are not only electronic primitives. They are cognitive filters that govern how information flows. When combined with graph structures, they become an intentional architecture for thinking.

This work stays grounded: precise terminology, observable effects, and a clear focus on the tools that can strengthen real-world learning.