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A web-based tool for identifying strategic intervention points in complex systems

Lloyd, D, Moschoyiannis, S, Elia, N, Penn, A and Knight, C (2016) A web-based tool for identifying strategic intervention points in complex systems In: Cassting Workshop at ETAPS 2016, 2016-04-02 - 2016-04-03, Eindhoven.

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Abstract

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 op- erationalisation 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 Map- ping (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.

Item Type: Conference or Workshop Item (Conference Abstract)
Subjects : Mathematics
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
AuthorsEmailORCID
Lloyd, DUNSPECIFIEDUNSPECIFIED
Moschoyiannis, SUNSPECIFIEDUNSPECIFIED
Elia, NUNSPECIFIEDUNSPECIFIED
Penn, AUNSPECIFIEDUNSPECIFIED
Knight, CUNSPECIFIEDUNSPECIFIED
Date : 2 April 2016
Funders : EPSRC
Grant Title : Evolution and Resilience of Industrial Ecosystems (ERIE)
Additional Information : Copyright 2016 S. Moschoyiannis, N. Elia, A. Penn, D. Lloyd & C. Knight This work is licensed under the Creative Commons Attribution License.
Depositing User : Symplectic Elements
Date Deposited : 17 Mar 2016 11:08
Last Modified : 17 Mar 2016 11:08
URI: http://epubs.surrey.ac.uk/id/eprint/810226

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