Constraint Framework

A framework for coherence, overload, fragmentation, collapse, and recovery across human and artificial systems.

License & Usage

Author: Michael Nathan Bower

Canonical source: AlignmentTheory.org

Framework: Alignment Theory

Status: Original research framework and applied constraint model

First published: 2026-05-06

Last updated: 2026-05-06

Research Content

The Complete Map, essays, papers, and framework documentation on AlignmentTheory.org are licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

You are free to share and adapt this material for non-commercial research, citation, and education with attribution to Michael Bower, AlignmentTheory.org.

PCPI Methodology & Tools

The Participatory Capacity Preservation Index (PCPI), including the formula, feature definitions, and scoring rubrics, may be used for non-commercial research with attribution.

Commercial use, including internal product evals, model training, SaaS tools, certification, or API services, requires a commercial license.

MAI Dataset

MAI is an under-development benchmark for behavioral alignment drift scored with PCPI. Public materials describe the research category and evaluation purpose at a high level; detailed dataset planning, annotation operations, and access terms are handled separately. Research access may be available under appropriate review as the dataset matures.

Certification

Certification under the Alignment Theory / PCPI framework is administered through Alignment Theory.

Contact

For commercial licensing, dataset access, or certification:
mnbower.researcher@gmail.com

Last updated: April 28, 2026

Source and Context

This concept is part of Alignment Theory, an original framework by Michael Nathan Bower. It should be understood in relation to the broader constraint model of internal alignment, external alignment, coherence, fragmentation, collapse, and recovery.