Applying the levels of conceptual interoperability model in support of integratability, interoperability, and composability for system-of-systems engineering

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics

Applying the Levels of Conceptual Interoperability Model in Support of Integratability, Interoperability, and Composability for System-of-Systems Engineering

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics

A METHODOLOGY FOR DEVELOPMENT OF DOMAIN SPECIFIC SIMULATION APPLICATIONS AND ENVIRONMENTS

In the modeling and simulation (M&S) arena, simulation developers have been exploring the concepts that facilitate modeling real world elements using appropriate simulation artifacts within the context of the domain of the application. However, there are some critical issues that distort their effectiveness and efficiency. The first issue is the quantity and quality of assumptions and constraints made during the M&S development, concerning the completeness of simulation models to represent reality. The second issue is the levels of model composability and simulation interoperability, affecting the possibility of data exchange and reusability. The third issue is development of an effective simulation-based environment such that the implementation of the concepts effectively implemented. Thus, this research study aims to develop a methodology that addresses these issues to improve the development of simulation models and the creation of simulation modeling environments particular to specific domains. Conceptual simulation modeling (CSM), model transformation, and domain specific simulation environment (DSSE) create the foundations for this methodology to bridge the gap between reality and simulation