Development Projects for the Causality Workbench
Isabelle Guyon, Jean-Philippe Pellet and Alexander Statnikov
In: AAAI Spring symposium on AI for development, 23-24 Mar 2010, Stanford, California, USA.
The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal http://clopinet.com/causality, we provide a number of resources, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. We regularly organize competitions. In this paper, we explore the opportunities offered by development applications.