Exploratory Modeling and Analysis (EMA) is a research methodology that uses computational experiments to analyze complex and uncertain systems (Bankes, 1993).That is, exploratory modeling aims at offering computational decision support for decision making under deep uncertainty and Robust decision making.
The EMA workbench is aimed at providing support for doing EMA on models developed in various modelling packages and environments. Currently, we focus on offering support for doing EMA on models developed in Vensim, Excel, and Python. Future plans include support for Netlogo and Repast. The EMA workbench offers support for designing experiments, performing the experiments - including support for parallel processing on both single machines as well as on clusters using ipython parallel.
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