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This paper describes a prototype of modeling and reasoning as a knowledge-based system using real time control and planning techniques as well as system dynamics. The aim was to produce an industrial robot system for real-time cell applications. The system derives cell resource information from a data management system and cell control and planning knowledge fro a knowledge-base in the form of abstraction rules. The description of the AI second generation architecture, the concept used, the modeling methods and reasoning techniques based on real-time approaches in cell applications are represented.