Multi-agent system-process approach to ensuring food security

The study is devoted to solving the critical problem of ensuring food security in the national security architecture in the context of global instability and sanctions pressure. The aim of the work is to formalize the management of uncertainties and collisions in the logistics chains of agricultural supplies. The article proposes a new methodology based on a hybrid approach integrating hierarchical analysis (from nano- to meta-level) with dynamic modeling of processes of a multi-agent system. It includes agents operating on the basis of precedent knowledge and collision resolution rules for automatic detection and resolution of conflicts in logistics operations of agricultural supplies. The proposed integrated system-process approach includes analysis of the consumption structure and calculation of the current subsistence minimum. Testing of the developed tools confirmed the high accuracy of collision recognition and their automatic resolution, as well as savings in logistics costs. The obtained results can be used to create intelligent systems to support management decisions that increase the resilience of the food system to external shocks through the rapid reconfiguration of supply chains and a realistic assessment of household vulnerability in the face of sanctions pressure.