PICTORIAL MODELING OF DYNAMIC-SYSTEMS

The world may be considered to consist of interacting objects. An obje ct-oriented view is missing, however, in traditional system dynamics m odels. An attempt to develop a simulation methodology based on this vi ew and using extended cellular automata principles is documented in th is article. This methodology relies on pictorial entities representing real or abstract objects and a set of intuitive behavior and interact ion rules. A simple predator-prey model shows how such a pictorial sim ulation approach compares with traditional system dynamics models.