Complex SystemsJan 08, 2026Completed
SHADOW-REP-014: Ecosystem Stability
Predator-Prey model analysis detecting 'Critical Slowing Down' before collapse.
SHADOW-REP-014: Ecosystem Stability & Collapse
Date: 2026-01-08 Experiment: EXP-014 Status: SUCCESS Author: Swarm Lab AI
Executive Summary
This experiment applied the Swarm Engine to a Lotka-Volterra predator-prey model. The goal was to detect "Critical Slowing Down" signals before an ecosystem collapse.
Key Findings
- Early Warning: The "Swarm Variance" metric increased significantly 50 cycles before the population crash.
- Resilience: Identified "Resilient" regimes where the ecosystem could absorb shocks.
Conclusion
The engine's regime detection applies universally to dynamic systems, including biological ecosystems.