Reference implementation anchor for:
"Cognitive Load Distribution Through Hierarchical Abstraction: Graph-Theoretic Foundations of the 7±2 Rule" Jihyuk Im, Claude Opus 4. June 2025.
This repository will host:
- Lambert-W-based optimal branching-factor solver (Theorem 2, b* ≈ 7.39)
- Multi-agent simulation harness that varies branching factor 3–15 and measures performance
- Organizational-data analysis scripts for the 2,847-organization survey in §4.1
Stub. Planned pieces:
branching.py— closed-form b* solver + Monte Carlo sweep over (N, H, C_node) to reproduce Fig. §2agents_rl/— multi-agent RL environment with configurable hierarchy width; reproduces the 10,000-simulation curve in §4.3org_data/— cleaning / aggregation pipeline for public organizational-structure datasets
See paper/HAL/L3_B_Cognitive_Load_Distribution_v2.md in the companion paper repository:
https://github.com/labforadvancedstudy/paper
TBD (will track the companion paper repo's license once that is finalized).