A problem-independent control algorithm for image understanding

Presents a problem-independent control algorithm for image understanding providing both data-driven and model-driven control structures. By an easy combination of these structures any mixed strategy can be achieved. The basis is a framework for the representation of declarative and procedural knowledge using a semantic network.<<ETX>>