Agent-Oriented Ontological Engineering for Multiagent Cyber-Physical Systems Utilizing Meta-Associative Graphs

This study explores the implementation of agent-oriented ontological engineering for multiagent cyber-physical systems utilizing meta-associative graphs. The agent-oriented approach leverages principles from object-oriented design to manage complex interrelationships and dynamic interactions among diverse agents within cyber-physical systems. By treating each component as an independent agent, encapsulating their data and methods, and utilizing inheritance and polymorphism, this methodology ensures modularity, flexibility, and scalability. Meta-associative graphs are employed to represent complex system interconnections, enabling dynamic updates and seamless integration of new elements. The proposed framework supports real-time decision-making, data processing, and continuous adaptation to new information and operational requirements. This study highlights specific implementations across various domains. Each case demonstrates the practical advantages of agent-oriented ontological engineering, such as improved modularity, dynamic interaction, and effective resource management. The findings underscore the transformative potential of integrating meta-associative graphs within multiagent cyber-physical systems, promoting enhanced system efficacy and intelligence through robust ontological frameworks. The approach significantly reduces dependency on specialized software developers, empowering domain experts to contribute directly to the system’s ontology and operational processes.