Graph model-based approach to the representation, interpretation, and execution of signal processing systems
János Sztipanovits, Gábor Karsai, Csaba Biegl · International Journal of Intelligent Systems · 1988
In a large class of intelligent machines, one of the tasks of the knowledge-based system components is to configure real-time signal processing systems. These systems implement low-level sensory or control algorithms according to the model of the system to be observed or controlled. If a change in the state of the model is detected, or the goal of the operation is modified, the real-time signal processing schemes have to be dynamically restructured. This article describes a system which has been developed for the knowledge-based generation and restructuring of real-time signal processing systems in parallel computing environments. the system is based on the integration of a hierarchical representation technique, the corresponding interpretation method, and an execution environment, which includes a graph model of computations.