Supporting Intelligent Real-Time Control: Dynamic Reaction on the Maruti Operating System

Abstract

AI Planning researchers have addressed the need for timely response to unanticipated and/or unpredictable events in dynamic environments by developing "reactive" systems, which are characterized generally by their environmentally-driven response characteristics. The Dynamic Reaction (DR) Model offers a paradigm of reactive program development that addresses many of the requirements of such systems. In this paper, we show how the Maruti hard real-time operating system supports the development of DR systems, and thereby provides the basis for the development of intelligent reactive systems with guaranteed performance characteristics, suitable for mission-critical applications. 1 Introduction Using computers to control complex real-world applications such as aircraft guidance systems and automatic medical monitoring systems combines the need to respond quickly to changes in the environment with the need to make intelligent choices about courses of action. In such missioncritical syste..