A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems
Steering a complex system towards a desired outcome is a challenging task. The lack of clarity on the system's exact architecture and the often scarce scientific data upon which to base the operationalisation of the dynamic rules that underpin the interactions between participant entities are t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Open Publishing Association
2016-07-01
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| Series: | Electronic Proceedings in Theoretical Computer Science |
| Online Access: | http://arxiv.org/pdf/1608.00655v1 |
| _version_ | 1818847051544264704 |
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| author | Sotiris Moschoyiannis Nicholas Elia Alexandra S. Penn David J.B. Lloyd Chris Knight |
| author_facet | Sotiris Moschoyiannis Nicholas Elia Alexandra S. Penn David J.B. Lloyd Chris Knight |
| author_sort | Sotiris Moschoyiannis |
| collection | DOAJ |
| description | Steering a complex system towards a desired outcome is a challenging task. The lack of clarity on the system's exact architecture and the often scarce scientific data upon which to base the operationalisation of the dynamic rules that underpin the interactions between participant entities are two contributing factors. We describe an analytical approach that builds on Fuzzy Cognitive Mapping (FCM) to address the latter and represent the system as a complex network. We apply results from network controllability to address the former and determine minimal control configurations - subsets of factors, or system levers, which comprise points for strategic intervention in steering the system. We have implemented the combination of these techniques in an analytical tool that runs in the browser, and generates all minimal control configurations of a complex network. We demonstrate our approach by reporting on our experience of working alongside industrial, local-government, and NGO stakeholders in the Humber region, UK. Our results are applied to the decision-making process involved in the transition of the region to a bio-based economy. |
| first_indexed | 2024-12-19T05:55:18Z |
| format | Article |
| id | doaj.art-afdc66af904f4c03a8db9a6699e5cd27 |
| institution | Directory Open Access Journal |
| issn | 2075-2180 |
| language | English |
| last_indexed | 2024-12-19T05:55:18Z |
| publishDate | 2016-07-01 |
| publisher | Open Publishing Association |
| record_format | Article |
| series | Electronic Proceedings in Theoretical Computer Science |
| spelling | doaj.art-afdc66af904f4c03a8db9a6699e5cd272022-12-21T20:33:28ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802016-07-01220Proc. Cassting 2016/SynCoP'16395210.4204/EPTCS.220.4:1A Web-based Tool for Identifying Strategic Intervention Points in Complex SystemsSotiris Moschoyiannis0Nicholas Elia1Alexandra S. Penn2David J.B. Lloyd3Chris Knight4 Department of Computer Science, University of Surrey, UK Extended-Content Solutions, London, UK Department of Sociology, University of Surrey, UK Department of Mathematics, University of Surrey, UK Department of Mathematics, University of Surrey, UK Steering a complex system towards a desired outcome is a challenging task. The lack of clarity on the system's exact architecture and the often scarce scientific data upon which to base the operationalisation of the dynamic rules that underpin the interactions between participant entities are two contributing factors. We describe an analytical approach that builds on Fuzzy Cognitive Mapping (FCM) to address the latter and represent the system as a complex network. We apply results from network controllability to address the former and determine minimal control configurations - subsets of factors, or system levers, which comprise points for strategic intervention in steering the system. We have implemented the combination of these techniques in an analytical tool that runs in the browser, and generates all minimal control configurations of a complex network. We demonstrate our approach by reporting on our experience of working alongside industrial, local-government, and NGO stakeholders in the Humber region, UK. Our results are applied to the decision-making process involved in the transition of the region to a bio-based economy.http://arxiv.org/pdf/1608.00655v1 |
| spellingShingle | Sotiris Moschoyiannis Nicholas Elia Alexandra S. Penn David J.B. Lloyd Chris Knight A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems Electronic Proceedings in Theoretical Computer Science |
| title | A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems |
| title_full | A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems |
| title_fullStr | A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems |
| title_full_unstemmed | A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems |
| title_short | A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems |
| title_sort | web based tool for identifying strategic intervention points in complex systems |
| url | http://arxiv.org/pdf/1608.00655v1 |
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