Simulating scenarios: contexts X_1..X_4, score uncertainty and expert disagreement

From static aggregation to a distribution of results

Mind map of chapter 23: three complementary dimensions (context X dependence, score uncertainty, evaluator plurality), four scenario-types (X_1 strong segregation, X_2 high trust, X_3 media polarisation, X_4 repeated shocks), uncertainty representations (intervals, random variables), multi-experts E_k and multiple weights w^(k), Monte Carlo algorithm and complete example on the reference matrix.