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INFORMATION FLOWS IN CAUSAL NETWORKS

    https://doi.org/10.1142/S0219525908001465Cited by:165 (Source: Crossref)

    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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