期刊
ADVANCES IN COMPLEX SYSTEMS
卷 11, 期 1, 页码 17-41出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219525908001465
关键词
causality; information theory; information flow; Bayesian networks
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.
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