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

Moschoyiannis, S, Elia, N, Penn, AS, Lloyd, DJB and Knight, C (2016) A web-based tool for identifying strategic intervention points in complex systems In: Proc. Games for the Synthesis of Complex Systems (CASSTING’16 @ ETAPS 2016), EPTCS 220. UNSPECIFIED, pp. 39-52.

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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: Book Section
Subjects : Mathematics
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
NameEmailORCID
Moschoyiannis, SS.Moschoyiannis@surrey.ac.uk
Elia, N
Penn, AS
Lloyd, DJBD.J.Lloyd@surrey.ac.uk
Knight, C
Date : 2 April 2016
Funders : EPSRC
DOI : 10.4204/EPTCS.220
Grant Title : Evolution and Resilience of Industrial Ecosystems (ERIE)
Copyright Disclaimer : Copyright S. Moschoyiannis, N. Elia, A. Penn, D. Lloyd & C. Knight This work is licensed under the Creative Commons Attribution License.
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 Mar 2016 11:08
Last Modified : 11 Dec 2018 11:22
URI: http://epubs.surrey.ac.uk/id/eprint/810226

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