2011
EMSS 2011 Proceeding
A Practical Guide for the Initialisation of Multi-Agent Systems with Random Number Sequences from Aggregated Correlation Data
Authors: Volker Nissen, Danilo Saft
Abstract
This article describes a scalable way to initialise a simulation model with correlated random numbers. The focus is on the nontrivial issue of creating predefined multidimensional correlations amongst those numbers. A multi-agent model serves as a basis for practical demonstrations in this paper, while the method itself may be interesting for an even wider audience within the modelling and simulation community beyond the field of agent-based modelling. In particular, we show how researchers can create streams of correlated random numbers for different empirically-based model parameters when just given aggregated statistics in the form of a correlation matrix. An example initialisation procedure is demonstrated using the open source statistical computing software ?R? as well as the open source multi-agent simulation software ?Repast Simphony?.
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