Multi-Agent Social and Organizational Modeling of Electric Power and Natural Gas Markets

Michael J. North ()
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Michael J. North: Argonne National Laboratory

Computational and Mathematical Organization Theory, 2001, vol. 7, issue 4, No 4, 337 pages

Abstract: Abstract Complex Adaptive Systems (CAS) can be applied to investigate large-scale socio-cognitive-technical systems. Viewing such systems from a multi-agent social and organizational perspective allows innovative computational policy analysis. Argonne National Laboratory (ANL) has taken such a perspective to produce an integrated model of the electric power and natural gas markets. This model focuses on the organizational interdependencies between these markets. These organizational interdependencies are being strained by fundamental market transformations.

Keywords: complex adaptive systems (CAS) Agent-based modeling (ABM); Electric power system modeling; Natural gas system modeling; Infrastructure interdependency; Swarm (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1023/A:1013406317362

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