Collaborative decision making in organic business environments
ISSN der Zeitschrift
Informatik 2004, Informatik verbindet, Band 2, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
Regular Research Papers
Gesellschaft für Informatik e.V.
This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where the participating agents have local, incomplete knowledge about the whole business transaction. The agents are self-organized for integrating their individual learning based on the business context. This is illustrated by a supply chain scenario with proactive monitoring of logistics processes. Experiments run on a large real-world order data set indicate that our approach effectively improves the performance of decision making in distributed business systems.