Civil Protection · Infrastructure Resilience · AI Simulation

Infrastructure
Resilience

Multi-Agent Crisis Simulation · Cascade Failure Modelling · AI Recovery

System Capabilities

What ResilienceSim models

Cascade Failure Engine

Dependency-graph propagation across power, water, hospitals, and transport. Each degraded asset penalises its dependents every turn.

Dependency graph
Turn-based propagation
8 asset types

Multi-Agent AI

Rule-based agents autonomously manage recovery under resource constraints. Country profiles scale action budgets, repair capacity, and alliance resupply.

Rule-based policy
Country parameterisation
Resource modelling

Vision Pipeline

YOLOv8 detects civilian infrastructure from aerial imagery. Detections seed scenario JSON files automatically.

YOLOv8 fine-tuned
xView dataset
Scenario annotation

Pipeline

How it works

01

Configure Nations

Set GDP, military strength, population, resources, terrain, and alliance factors for each fictional nation.

02

Load Scenario

Choose from hand-crafted crisis scenarios or generate one via the scenario builder.

03

Run Simulation

AI agents manage recovery across 60 turns. Cascading consequences fire each turn based on asset dependencies.

04

Analyse Results

Review service coverage timeline, displacement counts, event log, and optional AI-generated humanitarian summaries.