Modeling of Interaction of Multiple Intelligent Systems in a Real-World Environment

Core of this contribution is the modeling of interaction between human operators and technical systems (both referred to as Intelligent Systems (IS)) working cooperatively in real-world environments such as automobile traffic or production processes. Consequently, knowledge about the process and other involved IS has to be considered. Current approaches consider only a single IS interacting with a dynamically changing environment, or assume that the IS acts independently and not as part of a group. In this contribution, two possible approaches to model the interaction between multiple IS and the environment are discussed. On the one hand, the whole task with all interacting IS is modeled from an independent and neutral perspective (Integral Approach); on the other hand, each IS could be modeled independently from each other including an individual model of the perceived others (Empathy Approach). As underlying meta modeling technique for both approaches, the Situation-Operator-Modeling-technique (SOM) is used. Both approaches are illustrated using a simplified example of a traffic situation. The advantages and disadvantages of both approaches are discussed.