Abstract
Business complexity is growing exponentially and current business process management (BPM) systems that depend on static process definitions are becoming inadequate to adept complex and dynamic nature of this new business environment. Multi agent and semantic technologies based solutions are natural candidates for a solution towards more flexible ways of working, shortening organizational reaction times and fully embracing business unpredictability. This paper presents an agent based semantic business process management methodology that aims at the integration of business process management lifecycle and agent oriented software engineering methodologies. Specifically, the proposed methodology enables the intelligent agent based self-adaptation of business processes via goal and semantic technologies based enhancement of processes specifications.
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Kir, H., Erdoğan, N. (2016). Agent-Based Semantic Business Process Management Methodology. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M. (eds) Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. PAAMS 2016. Lecture Notes in Computer Science(), vol 9662. Springer, Cham. https://doi.org/10.1007/978-3-319-39324-7_13
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