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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Integrating Optimisation And Agent-Based Modelling |
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Authors: |
Peter George Johnson, Tina Balke,
Lars Kotthoff |
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Published in:
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(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
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Citation
format: |
Peter
George Johnson, Tina Balke, Lars Kotthoff (2014).
Integrating Optimisation
And Agent-Based Modelling, ECMS 2014 Proceedings
edited by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for Modeling and Simulation. doi:10.7148/2014-0775 |
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DOI: |
http://dx.doi.org/10.7148/2014-0775 |
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Abstract: |
A key strength of
agent-based modelling is the ability to explore the
upward-causation of micro-dynamics on the macro-level behaviour
of a system. However, in policy contexts, it is also important to be able to
represent downward-causation from the macro and meso-levels
to the micro, and to represent decision-making at the macro level (i.e., by
governments) in a sensible way. Though we cannot model political processes
easily, we can try to optimise decisions given
certain stated goals (e.g., minimum cost, or maximum impact). Optimisation offers one potential method to model
macro-level decisions in this way. This paper presents the implementation of
an integration of optimisation with agent-based modelling for the example of an auction scenario of
government support for the installation of photovoltaic solar panels by households.
Auction type scenarios of this kind, in which large groups of individuals or organisations make bids for subsidies or contracts from
government, are common in many policy domains. |
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