Simulation of Technological Knowledge Recovery in a Post-Apocalyptic Scenario
: This paper presents the simulation model “Simulation of Technological Knowledge Recovery in a Post - Apocalyptic Scenario”, designed to explore the key question of how widely technological knowledge must be distributed to survive a cataclysmic event. The model is implemented in the NetLogo environment using an agent-based approach to simulate a complex system of education and knowledge distribution related to electrical grid infrastructure. The study focuses on critical factors affecting technological sustainability and applies the Knowledge Survival Formula (ZP) to evaluate system resilience. The formula incorporates four main components: knowledge distribution, center availability, critical mass of experts, and internal resources. The simulation results offer insight into strategies for preserving technological knowledge under crisis conditions and show that greater decentralization of knowledge significantly improves resilience and long-term survival.