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From the same journal

Filling gaps in simulation of complex systems: the background and motivation for CoSMoS

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Filling gaps in simulation of complex systems : the background and motivation for CoSMoS. / Polack, Fiona A C.

In: Natural Computing, Vol. 14, No. 1, 03.2015, p. 49-62.

Research output: Contribution to journalArticlepeer-review

Harvard

Polack, FAC 2015, 'Filling gaps in simulation of complex systems: the background and motivation for CoSMoS', Natural Computing, vol. 14, no. 1, pp. 49-62. https://doi.org/10.1007/s11047-014-9462-5

APA

Polack, F. A. C. (2015). Filling gaps in simulation of complex systems: the background and motivation for CoSMoS. Natural Computing, 14(1), 49-62. https://doi.org/10.1007/s11047-014-9462-5

Vancouver

Polack FAC. Filling gaps in simulation of complex systems: the background and motivation for CoSMoS. Natural Computing. 2015 Mar;14(1):49-62. https://doi.org/10.1007/s11047-014-9462-5

Author

Polack, Fiona A C. / Filling gaps in simulation of complex systems : the background and motivation for CoSMoS. In: Natural Computing. 2015 ; Vol. 14, No. 1. pp. 49-62.

Bibtex - Download

@article{472cfe8434e44e63baf47996db4dcbbd,
title = "Filling gaps in simulation of complex systems: the background and motivation for CoSMoS",
abstract = "Modelling and simulation of complex systems can create scientificresearch tools that allow the inaccessible dynamic aspects of systems to be ex-plored in ways that are not possible in live systems. In some scientific contexts,there is a need to be able to create and use such simulations to explore andgenerate hypotheses alongside conventional laboratory research. The princi-pled CoSMoS approach was created to support these activities, as a responseto a perceived gap in the software engineering development process for sim-ulation. The article presents some of the software engineering motivation forCoSMoS, by exploring this perceived gap. Following from this analysis, the ar-ticle considers the validation of complex systems simulators, especially wherethese are to be used in ongoing research.",
keywords = "Agent-based simulation Software engineering CoSMoS Complex system Modelling and simulation ",
author = "Polack, {Fiona A C}",
year = "2015",
month = mar,
doi = "10.1007/s11047-014-9462-5",
language = "English",
volume = "14",
pages = "49--62",
journal = "Natural Computing",
issn = "1567-7818",
publisher = "Springer Netherlands",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Filling gaps in simulation of complex systems

T2 - the background and motivation for CoSMoS

AU - Polack, Fiona A C

PY - 2015/3

Y1 - 2015/3

N2 - Modelling and simulation of complex systems can create scientificresearch tools that allow the inaccessible dynamic aspects of systems to be ex-plored in ways that are not possible in live systems. In some scientific contexts,there is a need to be able to create and use such simulations to explore andgenerate hypotheses alongside conventional laboratory research. The princi-pled CoSMoS approach was created to support these activities, as a responseto a perceived gap in the software engineering development process for sim-ulation. The article presents some of the software engineering motivation forCoSMoS, by exploring this perceived gap. Following from this analysis, the ar-ticle considers the validation of complex systems simulators, especially wherethese are to be used in ongoing research.

AB - Modelling and simulation of complex systems can create scientificresearch tools that allow the inaccessible dynamic aspects of systems to be ex-plored in ways that are not possible in live systems. In some scientific contexts,there is a need to be able to create and use such simulations to explore andgenerate hypotheses alongside conventional laboratory research. The princi-pled CoSMoS approach was created to support these activities, as a responseto a perceived gap in the software engineering development process for sim-ulation. The article presents some of the software engineering motivation forCoSMoS, by exploring this perceived gap. Following from this analysis, the ar-ticle considers the validation of complex systems simulators, especially wherethese are to be used in ongoing research.

KW - Agent-based simulation Software engineering CoSMoS Complex system Modelling and simulation

U2 - 10.1007/s11047-014-9462-5

DO - 10.1007/s11047-014-9462-5

M3 - Article

VL - 14

SP - 49

EP - 62

JO - Natural Computing

JF - Natural Computing

SN - 1567-7818

IS - 1

ER -