The MAAT Value is a structural evaluation metric designed to assess complex systems such as companies, policies, or AI systems.
It is based on five fundamental principles:
- Harmony – stability and internal coherence
- Balance – fairness and distribution
- Creativity – innovation and adaptability
- Connectivity – collaboration and integration
- Respect – sustainability and ethical alignment
Instead of optimizing a single metric (e.g. profit), the MAAT Value evaluates systems across multiple structural dimensions simultaneously.
Basic formulation:
M = w_H·H + w_B·B + w_S·S + w_V·V + w_R·R
With an additional imbalance penalty:
M* = M − λ · σ(H,B,S,V,R)
This captures the idea that a system is only as strong as its weakest dimension.
Run the Python Demo:
python3 -m python.examples.maat_company_calc_demo
Open:
web/company-tool/index.html
Features:
- KPI-based input
- Direct scoring
- Weighted MAAT calculation
- Imbalance penalty
- Radar visualization
9–10 Excellent structural quality
8–9 Strong and sustainable
7–8 Good, improvable
6–7 Mixed stability
5–6 Fragile
<5 High structural risk
- Phenomenological model (not first-principles)
- Indicator selection introduces subjectivity
- Weights are context-dependent
- Simplified interactions
The MAAT Value aims to become:
- a decision-support tool for complex systems
- a bridge between physics-inspired selection and real-world evaluation
- a framework for AI alignment and sustainability
Christof Krieg
Independent Researcher
GitHub: https://github.com/Chris4081
Website: www.maat-research.com
Systems that endure are not those that maximize a single objective, but those that balance structure, adaptation, and responsibility.