Semantic Interoperability in Multi-Agent Planning: A Survey

This study examined the integration of Multi-Agent Planning (MAP) and semantic interoperability. It investigates how these two fields work together to improve the coordination, collaboration, and communication among autonomous agents in complex and ever-changing environments. Semantic interoper-ability provides a common language for agents that enhances mutual understanding and interaction. Conversely, distributed planning allows agents to make autonomous decisions while collaborating to achieve their common goals. The integration of these approaches offers promising opportunities for more effective coordination in comolex and decentralized systems