Development Projects for the CausalityWorkbench

Guyon, Isabelle (Clopinet) | Pellet, Jean-Philippe (IBM Zurich Research Lab) | Statnikov, Alexander (New-York University)

AAAI Conferences 

The CausalityWorkbench project provides an environment to test causal discovery algorithms. Via a web portal, 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.

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