Towards integrated intentional agent simulation and semantic geodata management in complex urban systems modeling

In a run-through application example, we show how standardized knowledge engineering technologies are used to turn a conventional geodatabase into a self-documenting knowledge base that can flexibly interface with modern open-data infrastructures. The resulting cross-domain world model is then coupled to a graphical actor modeling language that specializes in the formulation of behavioral theories in terms of social roles, intentions, tasks, conditions and interaction. Finally, we describe how system theories expressed in this way are automatically translated into computer simulations.