Distributed artificial intelligence: Difference between revisions

Revision as of 14:16, 1 October 2024

Revision as of 15:59, 13 November 2024

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{{Artificial intelligence}}

{{Multi-agent system}}

'''Distributed artificial intelligence''' ('''DAI''') also called Decentralized Artificial Intelligence<ref name=Demazeau>Demazeau, Yves, and J-P. Müller, eds. Decentralized Ai. Vol. 2. Elsevier, 1990.</ref> is a subfield of [[artificial intelligence]] research dedicated to the development of distributed solutions for problems. DAI is closely related to and a predecessor of the field of [[multi-agent system]]s.

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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 [[telecommunicationtelecommunications]]s 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