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User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations
The complexity of systems now under consideration (be they biological, physical, chemical, social, etc), together with the technicalities of experimentation in the real-world and the non-linear nature of system dynamics, means that computational modelling is indispensible in the pursuit of furtherin...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Published by Elsevier B.V.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501083/ https://www.ncbi.nlm.nih.gov/pubmed/32982617 http://dx.doi.org/10.1016/j.simpat.2020.102196 |
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author | Williams, Richard A. |
author_facet | Williams, Richard A. |
author_sort | Williams, Richard A. |
collection | PubMed |
description | The complexity of systems now under consideration (be they biological, physical, chemical, social, etc), together with the technicalities of experimentation in the real-world and the non-linear nature of system dynamics, means that computational modelling is indispensible in the pursuit of furthering our understanding of complex systems. Agent-based modelling and simulation is rapidly increasing in its popularity, in part due to the increased appreciation of the paradigm by the non-computer science community, but also due to the increase in the usability, sophistication and number of modelling frameworks that use the approach. The Flexible Large-scale Agent-based Modelling Environment (FLAME) is a relatively recent addition to the list. FLAME was designed and developed from the outset to deal with massive simulations, and to ensure that the simulation code is portable across different scales of computing and across different operating systems. In this study, we report our experiences when using FLAME to model the development and propagation of conflict within large multi-partner enterprise system implementations, which acts as an example of a complex dynamical social system. We believe FLAME is an excellent choice for experienced modellers, who will be able to fully harness the capabilities that it has to offer, and also be competent in diagnosing and solving any limitations that are encountered. Conversely, because FLAME requires considerable development of instrumentation tools, along with development of statistical analysis scripts, we believe that it is not suitable for the novice modeller, who may be better suited to using a graphical user interface driven framework until their experience with modelling and competence in programming increases. |
format | Online Article Text |
id | pubmed-7501083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75010832020-09-21 User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations Williams, Richard A. Simul Model Pract Theory Article The complexity of systems now under consideration (be they biological, physical, chemical, social, etc), together with the technicalities of experimentation in the real-world and the non-linear nature of system dynamics, means that computational modelling is indispensible in the pursuit of furthering our understanding of complex systems. Agent-based modelling and simulation is rapidly increasing in its popularity, in part due to the increased appreciation of the paradigm by the non-computer science community, but also due to the increase in the usability, sophistication and number of modelling frameworks that use the approach. The Flexible Large-scale Agent-based Modelling Environment (FLAME) is a relatively recent addition to the list. FLAME was designed and developed from the outset to deal with massive simulations, and to ensure that the simulation code is portable across different scales of computing and across different operating systems. In this study, we report our experiences when using FLAME to model the development and propagation of conflict within large multi-partner enterprise system implementations, which acts as an example of a complex dynamical social system. We believe FLAME is an excellent choice for experienced modellers, who will be able to fully harness the capabilities that it has to offer, and also be competent in diagnosing and solving any limitations that are encountered. Conversely, because FLAME requires considerable development of instrumentation tools, along with development of statistical analysis scripts, we believe that it is not suitable for the novice modeller, who may be better suited to using a graphical user interface driven framework until their experience with modelling and competence in programming increases. Published by Elsevier B.V. 2021-01 2020-09-19 /pmc/articles/PMC7501083/ /pubmed/32982617 http://dx.doi.org/10.1016/j.simpat.2020.102196 Text en Crown Copyright © 2020 Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Williams, Richard A. User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title | User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title_full | User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title_fullStr | User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title_full_unstemmed | User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title_short | User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations |
title_sort | user experiences using flame: a case study modelling conflict in large enterprise system implementations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501083/ https://www.ncbi.nlm.nih.gov/pubmed/32982617 http://dx.doi.org/10.1016/j.simpat.2020.102196 |
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