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Abstract

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
Original languageEnglish
Pages (from-to)17-41
JournalAdvances in Complex Systems
Volume11
Issue number1
DOIs
Publication statusPublished - 2008

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