Discipline Map · Edition 2026

The Discipline Map

The complete structure of AI Logic Engineering — every pillar, framework, and research track, in academic order.

§ Structural Notes

Academic challenges to the structure

01

Principles as a governing layer, not a framework

The current site lists eight sub-frameworks, including an "AI Logic Engineering Principles" framework. This map consolidates Principles as a standalone pillar above the Frameworks. Academically, principles govern frameworks; they should not sit beside them. The seven frameworks are therefore presented as the operational architecture, with Principles as their governing source.

02

New research tracks are marked as in development

Three of the five Research tracks — AI Ready Data Principle, Human Decision Quality Index, and AI Memory Architecture — are introduced here for the first time. They do not yet have dedicated pages and currently resolve to the general Research page. They are marked "In development" to preserve academic honesty and avoid implying completed work that does not yet exist.

03

The map completes the institutional structure

The original hierarchy omitted Glossary, Enterprise, Blog, and Author — all of which exist as pages on the site. They are added here as top-level or supporting elements so the map reflects the full, current structure of the discipline rather than a partial view.