Ein zustandsinhärentes Objekt- und Programmiermodell zur Simulation natürlicher emergenter Prozesse: Nutzungsmöglichkeiten von Multiagententechnik für die schulische Bildung

Natural systems, that are systems from nature, represent a potential source for new algorithms and/or applications in the technology; however, an investigation of these systems is necessary, in order to measure the consequences of interferences. For the investigation of natural systems, multi-agent technology based simulation tools are used to lower the entrance threshold, and to thus reach an extended group of users. The simulation model of available tools can be improved to promote system thinking in the context of school application. In the context of this thesis, firstly a state-based object model is developed, which allows a simpler transformation of existing biological models into simulation models. Further, the state-based object model permits the user a simpler change of the object behavior by super-ordinate structuring, as well as the reduction of the administration efforts. Object programming takes place by means of an object-orientated-flow programming language, similar to a data flow programming. The implementation of control structures, difficult to represent in data flow oriented programming languages, is realized in a simple manner using the developed state-based object model. The programming model was implemented prototypically in form of a visual programming language and environment, using special visualization techniques.