Semantically Enabled Communication Framework for Autonomous Systems

Abstract

Multi-agent systems (MAS) have recently gained much fame and have proved to be a potential technology that enables the construction and development of collaborative intelligent software systems. Development of such autonomous intelligent systems require a high level of communication with enriched semantics that will enable them to be integrated with the Web to achieve the ultimate goal of the Semantic Web in the future. The most important issues in MAS are high-level agent interaction, expressive power of agents, and semantics of messages to collaborate and cooperate with each other in Autonomous Decentralized Systems (ADS). This encoding/decoding mechanism will not only increase the reliability of the system but will also exhibit the properties of ADS that are high assurance. The evaluation proves that the implementation of semantically enriched communication improves performance and efficiency as a whole.