Reproducibility Code for "Robust Information Design for MAS with Complementarities" (AAMAS 2026)

Code to reproduce the results of “Robust Information Design for Multi-Agent Systems with Complementarities: Smallest-Equilibrium Threshold Policies”, F. Farhadi and M. Chli, AAMAS 2026. The repository contains two Jupyter notebooks, one for each case study. Together, they reproduce all numerical results and figures in the paper, including the sequential-obedience LP formulation, the constructive threshold policy, and the BCE benchmark. The notebooks are self-contained, tested in Google Colab, and require only standard scientific Python libraries (NumPy, SciPy, Matplotlib).