Nihat Ay () and
Daniel Polani ()
Additional contact information Nihat Ay: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, D-04103 Leipzig, Germany; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA
Daniel Polani: Algorithms and Adaptive Systems Research Groups, School of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
We use a notion of causal independence based on intervention, which is a fundamental concept of the theory of causal networks, to define a measure for the strength of a causal effect. We call this measure "information flow" and compare it with known information flow measures such as transfer entropy.