Model theoretic implications for agent languages in support of interoperability and composability

This paper evaluates the implications of model theory for agent languages. The tasks of ambassador agents are to represent simulations and identify potential contributions, select the best solutions in light of the question, compose the selected best solutions to provide the new functionality, and orchestrate their execution. Model-based data engineering can help to identify the information that needs to be exchanged between systems, existential and transformational dependencies can be identified using graph theory, and Petri nets can represent the availability of required information. All structures can be computed and fall under the realm of formal languages. Model theory is a subset of mathematics that focuses on the study of formal languages and their interpretations. Interpreting the terms model, simulation, and data of the modeling and simulation community using model theoretic terms allows the application of model theoretic insights. This allows to formally and unambiguously capture requirements for interoperability and composability.