Modelling Large Complex Systems Using Multi-agent Technology

Author

Rzevski, George

Author_Institution

Complexity Sci. & Design Group, Open Univ., London, UK

fYear

2012

fDate

8-10 Aug. 2012

Firstpage

434

Lastpage

437

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SNPD.2012.138

Filename

6299317