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
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