Workflows represent the coordination requirements of various distributed operations in an organisation. Typical workflow management systems are centralised and rigid; they cannot cope with the unexpected flexibly. Multi-agent systems offer the possibility of enacting workflows in a distributed manner, via software agents which are intelligent and autonomous, and respect the constraints in a norm-governed organisation. Agents should bring flexibility and robustness to the workflow enactment process. In this paper, we describe a method for building a norm-governed multi-agent system which can enact a set of workflows and cope with exceptions. We do this by providing agents with knowledge of the organisation, the domain, and the tasks and capabilities of agents. This knowledge is represented with Semantic Web languages, and agents can reason with it to handle exceptions autonomously. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Lam, J., Guerin, F., Vasconcelos, W., & Norman, T. J. (2010). Building multi-agent systems for workflow enactment and exception handling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6069 LNAI, pp. 53–69). https://doi.org/10.1007/978-3-642-14962-7_4
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