Publications
A living methodology, published in annual editions. Like PMBOK, ITIL, and ISO standards, each edition refines, expands, and improves the discipline.
AI Logic Engineering is presented as a proposed methodology, not a definitive solution. It is published openly to invite academic review, critique, and continual refinement through future editions.
§ 01 — The Editions
Annual Editions
The discipline is published in editions. Each edition is a snapshot of the methodology at a point in time — citable, versioned, and open to academic review.
Edition 2026
Published July 2026
The foundational publication of the discipline. Introduces the sixteen-stage lifecycle, the eight sub-frameworks, the Twenty Principles, and the Foundation Course.
Publications in this edition
AI Logic Engineering — The Discipline
The Sixteen-Stage Lifecycle
The Twenty Principles
Foundation AI Course
The Philosophy of AI Logic Engineering
Why Artificial Intelligence Needs a Discipline of Human Decision Making
Edition 2027
Target: July 2027
The second annual edition. Planned updates include expanded academic descriptions, new research notes, refined glossary definitions, and pilot case studies — subject to research partnerships.
Planned for this edition
Expanded academic descriptions for all sixteen stages
Working papers from the research programme
Refined glossary definitions based on academic review
Pilot case studies (subject to partnerships)
Edition 2028
Target: July 2028
The third annual edition. Vision includes advanced pathways, enterprise applications, and university collaborations — subject to the discipline's maturation and adoption.
Planned for this edition
Advanced AI Logic Engineering pathways
Enterprise applications and governance models
University curriculum collaborations
Professional certification programmes
§ 02 — Version History
Transparent changelog
Every change between versions is documented. The methodology evolves openly — nothing is hidden, nothing is retrospectively altered without trace.
v1.0
Initial Publication
The foundational publication of AI Logic Engineering. Introduces the complete methodology.
No subsequent versions have been published yet. The changelog will grow as the discipline evolves.
Open Methodology License
All AI Logic Engineering publications are published under an open methodology license. They may be studied, cited, and built upon with attribution. The discipline evolves through academic engagement.
Edition 2026 · Version 1.0 · Published July 2026