A modeling framework for complex systems

Abstract

This paper presents a modeling framework for defining abstractions of real-world complex systems promoting the development of discrete-event simulation models based on DEVS. An ontology, a metamodel, and a reasoner are combined in one single structure to allow an upgrade of an abstraction model to an implementation model. Our motivation is to reduce the effort related to the modeling part when specifying DEVS models for complex systems described from an abstraction of reality built over a research question. Applications include an easier introduction to M&S for students of any scientific field that can define an abstraction model with an easier introduction to DEVS models (from formalization to implementation).