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This paper presents an approach towards autonomic workflow management within a distributed, agent-based structural health monitoring system. This monitoring system is currently being developed at the Institute of Computational Engineering. Its global aim is to support the involved human experts in monitoring safety-relevant civil infrastructures by an artificial organization of several cooperating software agents. For the purpose of managing the workflow, Graph Theory – suitable to mathematically represent discrete distributed systems – is utilized by self-controlling software agents. To this end, software agents are regarded as distributed, self-contained entities and capable of making independent decisions. However, by applying the Graph Theory, and in particular Petri Nets, for controlling software agents, the agents just carry out instructions of a “centralized planning capability” that provides workflow specifications but cannot act independently. Thus, a layered approach is outlined allowing benefits from both the independent agent nature and the advantages of centralized planning.
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