DocumentCode :
3327998
Title :
Facilitating Interdisciplinary Modelling of Complex Problems
Author :
Nikolic, Igor ; Beers, Pieter J. ; Dijkema, Gerard P J
Author_Institution :
Fac. of Technol., Delft Univ. of Technol.
fYear :
2007
fDate :
Jan. 2007
Abstract :
In this paper the system-decomposition method is presented, which facilitates the process of modeling of complex systems by multidisciplinary teams. Such modeling is non-trivial, because these teams must codify knowledge from different scientific disciplines in order to create models that exhibit realistic behaviour. The system-decomposition method has been developed to facilitate the creation of a standard interface for and between researchers, model parts find computer model, code. The method was applied to three different complex system modeling efforts. The remits demonstrate that It reduces modeling costs, improves model quality and enables the integration of knowledge in multidisciplinary teams, the models they produce and the actual written computer code
Keywords :
knowledge representation; large-scale systems; natural sciences computing; ontologies (artificial intelligence); software agents; complex problems; computer code; interdisciplinary modelling; knowledge integration; model quality; multidisciplinary teams; standard interface; system-decomposition method; Aggregates; Algorithm design and analysis; Code standards; Collaboration; Costs; Government; Ontologies; Solid modeling; Standards development; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
ISSN :
1530-1605
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2007.224
Filename :
4076778
Link To Document :
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