Title :
Use of systemigrams to identify emergence in complex adaptive systems
Author :
McDermott, Tom ; Nadolski, Molly ; Sheppard, Lindsey
Author_Institution :
Georgia Tech Res. Inst., Atlanta, GA, USA
Abstract :
This paper presents the application of a sociotechnical modeling framework to capture the wider global system impacts of the U.S. shale gas boom in a context of the larger global energy marketplace. The global energy markets represent a complex adaptive system. Existing models are not sufficient to reflect the complexity of changes presently occurring in the system, and fail to trace interactions across a wide enough system of interest. This project introduces conceptual models of flow and interaction in the global energy marketplace in order to inform the design of analytical models that identify more complex behaviors of the system. This is an example of a set of emerging methods and tools for the design of complex systems and represents an important first stage in a research program to integrate complexity analysis tools with traditional system design tools.
Keywords :
globalisation; large-scale systems; natural gas technology; shale gas; systems engineering; U.S. shale gas boom; complex adaptive system; global energy marketplace; sociotechnical modeling framework; systemigram; Analytical models; Computational modeling; Control systems; Europe; Lead; Pricing; Complex adaptive systems; Emergence; Emergent patterns; Energy; Multi-level modeling; Natural gas; Sociotechnical systems; Soft systems; Systemigram;
Conference_Titel :
Systems Conference (SysCon), 2015 9th Annual IEEE International
Conference_Location :
Vancouver, BC
DOI :
10.1109/SYSCON.2015.7116845