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Causality in the Sciences$
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Phyllis McKay Illari, Federica Russo, and Jon Williamson

Print publication date: 2011

Print ISBN-13: 9780199574131

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780199574131.001.0001

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Causality Workbench

Causality Workbench

Chapter:
(p.543) 26 Causality Workbench
Source:
Causality in the Sciences
Author(s):

Isabelle Guyon

Constantin Aliferis

Gregory Cooper

André Elisseeff

Jean‐Philippe Pellet

Peter Spirtes

Alexander Statnikov

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199574131.003.0026

The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), a number of resources are provided, 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. Regular competitions are organized.

Keywords:   causal modeling, generating models, virtual laboratory, benchmarks, competitions, challenges, data repository

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