Title :
Modelling Large Complex Systems Using Multi-agent Technology
Author_Institution :
Complexity Sci. & Design Group, Open Univ., London, UK
Abstract :
The paper outlines a method for modelling largescale commercial, social, socio-technological and engineering problems. The method is derived from twelve years of experience in designing and implementing large complex systems for real-time scheduling of taxis, air taxis, car rentals, seagoing tankers, trucks, space crafts; dynamic data mining; dynamic knowledge discovery and semantic search. The same approach has been also used for designing adaptive engineering systems and for research into social issues such as eradication of poverty.
Keywords :
data mining; large-scale systems; multi-agent systems; scheduling; commercial problems; data mining; engineering problems; knowledge discovery; large complex systems; multi-agent technology; real-time scheduling; semantic search; social problems; socio-technological problems; Adaptation models; Complexity theory; Computational modeling; Globalization; Multiagent systems; Real time systems; large complex systems; real-time scheduling; adaptive engineering systems; agents; ontology;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-2120-4
DOI :
10.1109/SNPD.2012.138
