Collaborative decision making in organic business environments
| dc.contributor.author | Guo, Yutao | |
| dc.contributor.author | Müller, Jörg P. | |
| dc.contributor.editor | Dadam, Peter | |
| dc.contributor.editor | Reichert, Manfred | |
| dc.date.accessioned | 2019-10-11T11:37:26Z | |
| dc.date.available | 2019-10-11T11:37:26Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | 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. | en |
| dc.identifier.isbn | 3-88579-380-6 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/28708 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2004, Informatik verbindet, Band 2, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-51 | |
| dc.title | Collaborative decision making in organic business environments | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 604 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 600 | |
| gi.conference.date | 20.-24. September 2004 | |
| gi.conference.location | Ulm | |
| gi.conference.sessiontitle | Regular Research Papers |
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