Abstract. Simulation is a commonly used method, for example in economics, engineering or computer science. In many cases, simulations become difficult to design and control, especially when the simulated actors need to posses, acquire or process knowledge in some form or the other. Today simulation systems exists that are based on the multi-agent paradigm and use formal ontologies for representing the world, internal states of an agent or domain knowledge. However, such systems frequently feature individual noncongruent models that are not aligned with state of the art foundational ontology frameworks. In this work we outline a foundational simulation ontology (FSO) that models simulations themselves so that not only the domain-specific models can be aligned to a standardized upper level, but also scenario design for ontology-based simulations can be performed by applying state of the art ontology engineering principles. Our showcase scenario is that of autonomous logistic processes, where we apply our model for the domain of transport logistics. 1