Towards a Multi-Model Approach to Agent-Based Social Simulation for Policymaking

Emil Johansson, Fabian Lorig, Paul Davidsson

Keywords: Multi-Model, Policymaking, Structural Uncertainty

Abstract:

This paper explores a multi-model approach to agent-based
social simulation; that is, using several independent model to simulate the
same system and then aggregating results and insights from each of them.
An example study is presented, where five different models are used to
simulate disease spread in a town. This is followed by a discussion of some
key questions when designing a multi-model study, and the feasibility of
such a study. Though challenges exist, the multi-model approach has
the potential to become a powerful tool against structural uncertainty in
social simulation models.

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Submission Number: 17