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Social simulation comparison in arbitrary problem domains: first steps towards a more principled approach

Social simulation comparison in arbitrary problem domains: first steps towards a more principled approach
Social simulation comparison in arbitrary problem domains: first steps towards a more principled approach
We outline a simulation development process, backed by a software framework, which focuses on developing and using a partial conceptual model as a ‘lens’ to compare and possibly re-implement existing models in a chosen problem domain (as well as to design new models). To make this feasible for existing models of arbitrary structure and background social theory, we construct our (partial) conceptual model in a way that acknowledges that it is a base representation which any individual model will typically add detail to, and abstract away from, in various ways which we argue can be formalised. A given model’s design is fitted to the conceptual model to capture how its structural architecture (and selected aspects of the system’s state and driving processes) map to the conceptual model. This fit can be used to produce incomplete skeleton code which can then be extended to produce a simulation. Along the way, we discuss how the field of robust decision-making provides a useful context for this, and how it differs from other approaches. This is inevitably a preliminary approach to a broad and difficult problem, so we end by discussing some of the main issues and what might be needed next.
modelling process, model comparison, M2M analysis, soft- ware framework, model-driven-design, robust decision-making, LTPA
978-4-431-54846-1
1861-0803
11
329-345
Springer
Rossiter, Stuart P.
6960dffd-cbac-4d14-b091-7dbd1f8db8ab
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Bell, K.R.W.
37c01d3a-ad49-4c1b-8f25-2244c25b29a9
Chen, S-H.
Terano, T.
Yamamoto, R.
Tai, C-C.
Rossiter, Stuart P.
6960dffd-cbac-4d14-b091-7dbd1f8db8ab
Noble, Jason
440f07ba-dbb8-4d66-b969-36cde4e3b764
Bell, K.R.W.
37c01d3a-ad49-4c1b-8f25-2244c25b29a9
Chen, S-H.
Terano, T.
Yamamoto, R.
Tai, C-C.

Rossiter, Stuart P., Noble, Jason and Bell, K.R.W. (2014) Social simulation comparison in arbitrary problem domains: first steps towards a more principled approach. In, Chen, S-H., Terano, T., Yamamoto, R. and Tai, C-C. (eds.) Advances in Computational Social Science: The Fourth World Congress. (Agent-Based Social Systems, , (doi:10.1007/978-4-431-54847-8), 11) Springer, pp. 329-345. (doi:10.1007/978-4-431-54847-8).

Record type: Book Section

Abstract

We outline a simulation development process, backed by a software framework, which focuses on developing and using a partial conceptual model as a ‘lens’ to compare and possibly re-implement existing models in a chosen problem domain (as well as to design new models). To make this feasible for existing models of arbitrary structure and background social theory, we construct our (partial) conceptual model in a way that acknowledges that it is a base representation which any individual model will typically add detail to, and abstract away from, in various ways which we argue can be formalised. A given model’s design is fitted to the conceptual model to capture how its structural architecture (and selected aspects of the system’s state and driving processes) map to the conceptual model. This fit can be used to produce incomplete skeleton code which can then be extended to produce a simulation. Along the way, we discuss how the field of robust decision-making provides a useful context for this, and how it differs from other approaches. This is inevitably a preliminary approach to a broad and difficult problem, so we end by discussing some of the main issues and what might be needed next.

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More information

Published date: 2014
Additional Information: This is an extended version of a conference paper, submitted for a book of selected papers. See http://eprints.soton.ac.uk/342691 and the Publication section of the conference Web site: http://www.aiecon.org/conference/wcss2012.Exact book title and page numbers TBC.
Keywords: modelling process, model comparison, M2M analysis, soft- ware framework, model-driven-design, robust decision-making, LTPA
Organisations: Agents, Interactions & Complexity, Social Sciences

Identifiers

Local EPrints ID: 354382
URI: https://eprints.soton.ac.uk/id/eprint/354382
ISBN: 978-4-431-54846-1
ISSN: 1861-0803
PURE UUID: 8d32edc5-f654-4374-ad96-54a671ba6f0e

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Date deposited: 10 Jul 2013 15:30
Last modified: 18 Jul 2017 03:56

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