By the same authors

CoSMoS in the Context of Social Ecological Research

Research output: Contribution to conferencePaper

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CoSMoS in the Context of Social Ecological Research. / Forrester, John Martin; Greaves, Richard Brian; Polack, Fiona A C.

2012. 47-76.

Research output: Contribution to conferencePaper

Harvard

Forrester, JM, Greaves, RB & Polack, FAC 2012, 'CoSMoS in the Context of Social Ecological Research', pp. 47-76. <http://www.cosmos-research.org/docs/cosmos2012-proceedings.pdf>

APA

Forrester, J. M., Greaves, R. B., & Polack, F. A. C. (2012). CoSMoS in the Context of Social Ecological Research. 47-76. http://www.cosmos-research.org/docs/cosmos2012-proceedings.pdf

Vancouver

Forrester JM, Greaves RB, Polack FAC. CoSMoS in the Context of Social Ecological Research. 2012.

Author

Forrester, John Martin ; Greaves, Richard Brian ; Polack, Fiona A C. / CoSMoS in the Context of Social Ecological Research.

Bibtex - Download

@conference{4f4b156598e74db49b4dafe5b4946cb7,
title = "CoSMoS in the Context of Social Ecological Research",
abstract = "Social-ecological systems are an innately complexinteraction among social systems and ecosystems. Computermodellers have been working with the WD-NACE social-ecologicalsystems research project to develop useful models, followinga principled approach to complex systems modelling and simulation(the CoSMoS process). Key considerations include comprehensibilityby domain scientists; software engineering rigour; andconsideration of soft elements in the context of physical structuresand behaviours. In social sciences, there is an unresolvedproblem in the modelling of soft elements and the structures andbehaviours that underlie soft elements. There is a need to model,and simulate, systems that include soft elements, not least to informpolicy and decision options. Focusing on the domain modelprovides a context for understanding the interaction of soft andhard elements, and helps to clarify what sort of soft-elementrepresentation would be appropriate in a computer simulation.",
author = "Forrester, {John Martin} and Greaves, {Richard Brian} and Polack, {Fiona A C}",
note = "In: Proceedings of the 2012 Workshop on Complex Systems Modelling and Simulation. S. Stepney, P.S. Andrews and M.N. Read (eds). Luniver Press, ISBN: 978-1-905986-37-8. ",
year = "2012",
language = "English",
pages = "47--76",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - CoSMoS in the Context of Social Ecological Research

AU - Forrester, John Martin

AU - Greaves, Richard Brian

AU - Polack, Fiona A C

N1 - In: Proceedings of the 2012 Workshop on Complex Systems Modelling and Simulation. S. Stepney, P.S. Andrews and M.N. Read (eds). Luniver Press, ISBN: 978-1-905986-37-8.

PY - 2012

Y1 - 2012

N2 - Social-ecological systems are an innately complexinteraction among social systems and ecosystems. Computermodellers have been working with the WD-NACE social-ecologicalsystems research project to develop useful models, followinga principled approach to complex systems modelling and simulation(the CoSMoS process). Key considerations include comprehensibilityby domain scientists; software engineering rigour; andconsideration of soft elements in the context of physical structuresand behaviours. In social sciences, there is an unresolvedproblem in the modelling of soft elements and the structures andbehaviours that underlie soft elements. There is a need to model,and simulate, systems that include soft elements, not least to informpolicy and decision options. Focusing on the domain modelprovides a context for understanding the interaction of soft andhard elements, and helps to clarify what sort of soft-elementrepresentation would be appropriate in a computer simulation.

AB - Social-ecological systems are an innately complexinteraction among social systems and ecosystems. Computermodellers have been working with the WD-NACE social-ecologicalsystems research project to develop useful models, followinga principled approach to complex systems modelling and simulation(the CoSMoS process). Key considerations include comprehensibilityby domain scientists; software engineering rigour; andconsideration of soft elements in the context of physical structuresand behaviours. In social sciences, there is an unresolvedproblem in the modelling of soft elements and the structures andbehaviours that underlie soft elements. There is a need to model,and simulate, systems that include soft elements, not least to informpolicy and decision options. Focusing on the domain modelprovides a context for understanding the interaction of soft andhard elements, and helps to clarify what sort of soft-elementrepresentation would be appropriate in a computer simulation.

M3 - Paper

SP - 47

EP - 76

ER -