Editing Distributed artificial intelligence (section)

==Applications and tools==
Areas where DAI have been applied are:
* [[E-commerce|Electronic commerce]], e.g. for [[Trading strategy|trading strategies]] the DAI system learns financial trading rules from subsamples of very large samples of financial data
* [[Telecommunications network|Networks]], e.g. in [[telecommunications]] the DAI system controls the cooperative resources in a [[Wireless LAN|WLAN]] network<ref>{{cite web|author1=Anita Raja |author2=Linda Xie|author2-link= Jiang Xie |author3=Ivan Howitt |author4=Shanjun Cheng |others= Project sponsor: NSF |title=WLAN Resource Management using Distributed Constraint Optimization |id=CS Research: Past projects – Project summary |url=http://dair.uncc.edu/projects/past-projects/wlan-resource |archive-url=https://web.archive.org/web/20150512081820/http://dair.uncc.edu/projects/past-projects/wlan-resource |archive-date=2015-05-12  |website=UNC Charlotte: Department of Computer Science}} [https://cci.charlotte.edu/departments/computer-science-cs/cs-research UNC Charlotte College of Computing and Informatics]</ref> 
* [[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
* [[Search engine|Search engines]], e.g. in LLM [[Federated search|federated search]] like Ithy where document retrieval and analysis are distributed to DAI agents before aggregation <ref>{{cite web|title=Ithy: A distributed AI search engine|url=https://ithy.com}}</ref> 
* Multi-Agent systems, e.g. [[artificial life]], the study of [[Artificial life|simulated life]]
* Electric power systems, e.g. Condition Monitoring Multi-Agent System (COMMAS) applied to transformer condition monitoring, and IntelliTEAM II Automatic Restoration System<ref>{{Cite journal|last1=Catterson|first1=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|journal=European Transactions on Electrical Power|language=en|volume=22|issue=2|pages=235–252|doi=10.1002/etep.619|issn=1546-3109|url=https://strathprints.strath.ac.uk/33136/1/Catterson9830393_File000000_173961975.pdf}}</ref>
DAI integration in tools has included: 
* ECStar is a distributed rule-based learning system.<ref>{{cite web |title=Anyscale Learning For All {{!}} alfagroup |url=http://groups.csail.mit.edu/EVO-DesignOpt/groupWebSite/index.php?n=Site.BP#ECStar-fig |website=alfagroup.csail.mit.edu}}</ref>