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        Information flows in causal networks

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        902104.pdf (PDF, 285Kb)
        Author
        Ay, N.
        Polani, D.
        Attention
        2299/9649
        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
        Publication date
        2008
        Published in
        Advances in Complex Systems
        Published version
        https://doi.org/10.1142/S0219525908001465
        Other links
        http://hdl.handle.net/2299/9649
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