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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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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 11 April 2021

Causality Workbench

Causality Workbench

(p.543) 26 Causality Workbench
Causality in the Sciences

Isabelle Guyon

Constantin Aliferis

Gregory Cooper

André Elisseeff

Jean‐Philippe Pellet

Peter Spirtes

Alexander Statnikov

Oxford University Press

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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