Agent-based distributed dependable systems

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An increasingly important requirement for software based systems is the ability to deliver reliable, correct, and safe services in a timely manner. This kind of ability is usually called system dependability which is demonstrated through features like self-managing, self-maintaining, and self-repairing/self-healing. These features are becoming a requirement of software based systems in many industrial sectors, e.g., in some manufacturing environments (such as steel mills and chemical plants) and critical infrastructures/facilities (such as power grids and nuclear power plants) where system failures or unexpected shutdowns will cause significant economic losses or even destroy entire plants/facilities. The objective of this research is to develop scientific and engineering foundations, innovative technologies, and practical solutions to support distributed, automated, dependable computer systems that are able to handle faults and uncertain changes at real time without (or with reduced) degrading of services. The emphasis will be on understanding, modeling, designing, and implementing complex software systems in dynamic manufacturing environments and critical infrastructures/facilities. We will particularly investigate the application of intelligent software agents in this area, by integrating with other concepts, principles, and technologies, including active event-based concepts, optimal control theory, scheduling and optimization, data mining, and distributed sensor networks.