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* [[Scheduling (production processes)|Routing]], e.g. model vehicle flow in transport networks
* [[Scheduling (production processes)|Scheduling]], e.g. [[flow shop scheduling]] where the resource management entity ensures local optimization and cooperation for global and local consistency
* Multi-Agent systems, e.g. [[Artificial life|Artificial Life]], the study of simulated life
* Power systems, e.g. COndition Monitoring Multi-Agent System (COMMAS) applied to transformer condition monitoring, and IntelliTEAM II Automatic Restoration System <ref>{{Cite journal|last=Catterson|first=Victoria M.|last2=Davidson|first2=Euan M.|last3=McArthur|first3=Stephen D. J.|date=2012-03-01|title=Practical applications of multi-agent systems in electric power systems|url=http://onlinelibrary.wiley.com/doi/10.1002/etep.619/abstract|journal=European Transactions on Electrical Power|language=en|volume=22|issue=2|pages=235–252|doi=10.1002/etep.619|issn=1546-3109}}</ref>
==Tools==
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*[4] Damien Trentesaux, Philippe Pesin, and Christian Tahon. Distributed artificial intelligence for fms scheduling, control
and design support. Journal of Intelligent Manufacturing, 11(6):573-589, 2000.
*[5] Catterson, V. M., Davidson, E. M., & McArthur, S. D. J. Practical applications of multi-agent systems in electric power systems. ''European Transactions on Electrical Power'', ''22''(2), 235–252. 2012
== Further reading ==
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