Архітектурна модель мультиагентної платформи інтелектуального керування IoT-середовищем

Abstract

This work presents a multi-agent platform for intelligent management of IoT environments based on event-driven interaction of AI agents. The architecture enables autonomous agents to monitor, analyze, and coordinate IoT devices in dynamic conditions. Agents perform decision-making and action planning using artificial intelligence techniques, including machine learning and knowledge-based reasoning. Interaction between agents is implemented through an event-driven messaging mechanism, enabling asynchronous system responses to environmental changes. The proposed approach improves scalability, adaptability, and fault tolerance of IoT infrastructures. Potential applications include smart buildings, industrial IoT networks, and distributed cyber-physical systems