DocumentCode :
1614301
Title :
Multi-Agent simulation framework for interdisciplinary research in digital ecosystems
Author :
Kurz, Thomas ; Eder, Raimund ; Heistracher, Thomas J.
Author_Institution :
ITS Dept., Salzburg Univ. of Appl. Sci., Puch/Salzburg, Austria
fYear :
2009
Firstpage :
425
Lastpage :
429
Abstract :
The conceptualization and ongoing implementation of a network and service infrastructure for SMEs that bases on biologically inspired similes for service mediation needs thorough simulation and emulation capabilities that accompany that development. Digital ecosystems (DE) are demand-driven self-organising agent environments exhibiting complex behaviour during utilisation and growth. To optimise this infrastructure, the capability of modelling of central DE mechanisms is a key success factor. In this paper the fully distributed evolutionary environment simulator (EvESim) is discussed that enriches the DE infrastructure by simulation and emulation capabilities for the benefit of interdisciplinary research.
Keywords :
digital simulation; evolutionary computation; multi-agent systems; small-to-medium enterprises; DE mechanism; EvESim; SME; demand-driven self-organising agent environment; digital ecosystem; distributed evolutionary environment simulator; interdisciplinary research; medium-sized enterprise; multiagent simulation framework; Biological system modeling; Biology; Computational modeling; Ecosystems; Electronic mail; Emulation; Genetic algorithms; Mediation; Multiagent systems; Visualization; biocomputing; digital ecosystems; multi-agent system; simulation framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
Type :
conf
DOI :
10.1109/DEST.2009.5276715
Filename :
5276715
Link To Document :
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