While working with Textician, I created a number of blog posts on general AI architecture. While these posts were done in 2018, and somewhat biased to what Textician was doing, they still hold up remarkably well. They are presented here without updates. The first two establish the framework for the remaining discussion.
Learning, Predicting and Reasoning (The Four R's Framework) (pdf)
A Bit of Context (on Recognition and Reasoning) (pdf)
An Accurate Assessment (on the difficulty of evaluating models) (pdf)
Bring Down the Noise; Bring in Da Funk (on Representation of data) (pdf)
Pay Attention (on use of Reasoning's limited resources) (pdf)