.. EMA workbench documentation master file, created by sphinx-quickstart on Wed Sep 07 13:56:32 2011. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. .. meta:: :description: A python library for exploratory modeling and analysis for supporting model based decision making under deep uncertainty :keywords: exploratory modeling, deep uncertainty, robust decision making, vensim, python *************************** EMA Workbench documentation *************************** .. only:: html :Release: |version| :Date: |today| .. _contents: .. _exploratory-modelling-analysis-workbench: ************************************************** Exploratory Modelling and Analysis (EMA) Workbench ************************************************** 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 aims at providing support for performing exploratory modeling with models developed in various modelling packages and environments. Currently, the workbench offers connectors to `Vensim `_, `Netlogo `_, and Excel. The EMA workbench offers support for designing experiments, performing the experiments - including support for parallel processing on both a single machine as well as on clusters-, and analysing the results. To get started, take a look at the high level overview, the tutorial, or dive straight into the details of the API. For a comparison between the workbench and `rhodium `_, see :doc:`this discusion `. .. toctree:: :maxdepth: 1 :caption: Getting Started ./getting_started/overview ./getting_started/installation ./getting_started/other_packages ./getting_started/changelog .. toctree:: :maxdepth: 1 :caption: User Guide ./basic_tutorial.rst ./indepth_tutorial/general-introduction.ipynb ./indepth_tutorial/open-exploration.ipynb ./indepth_tutorial/directed-search.ipynb ./indepth_tutorial/mpi-evaluator.ipynb ./examples.rst ./best_practices.rst ./vensim-tips-and-tricks.rst ./ema_documentation/glossary.rst .. toctree:: :maxdepth: 1 :caption: Developer Guide ./api_index.rst Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` * :ref:`glossary`