DocumentCode
1372443
Title
Self-Adaptation Using Multiagent Systems
Author
Weyns, Danny ; Georgeff, Michael
Author_Institution
DistriNet Labs., Katholieke Univ. Leuven, Leuven, Belgium
Volume
27
Issue
1
fYear
2010
Firstpage
86
Lastpage
91
Abstract
Each decade has its key software technology to advance artificial intelligence, and each technology is highlighted in a novel that sells much better than the underlying technology. Who hasn´t read Michael Crichton´s Prey and wondered how far multiagent systems might evolve and how they might affect humankind? Our technology column digs into this topic in this issue. Danny Weyns and Michael Georgeff provide a short introduction and show how multiagent systems help master the complexity of self-adaptive systems. They contrast multiagent systems with other current technologies and provide links and hints for practitioners who want to get started with this emerging field.
Keywords
multi-agent systems; self-adjusting systems; systems analysis; artificial intelligence; multiagent system; systems self-adaptation; Artificial intelligence; Multiagent systems; multiagent systems; software engineering;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/MS.2010.18
Filename
5370765
Link To Document