IDEAS home Printed from https://ideas.repec.org/a/wsi/acsxxx/v11y2008i01ns0219525908001465.html
   My bibliography  Save this article

Information Flows In Causal Networks

Author

Listed:
  • 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)

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.

Suggested Citation

  • Nihat Ay & Daniel Polani, 2008. "Information Flows In Causal Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 17-41.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:01:n:s0219525908001465
    DOI: 10.1142/S0219525908001465
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219525908001465
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219525908001465?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Masafumi Oizumi & Larissa Albantakis & Giulio Tononi, 2014. "From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0," PLOS Computational Biology, Public Library of Science, vol. 10(5), pages 1-25, May.
    2. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118466, University Library of Munich, Germany.
    3. van Elteren, Casper & Quax, Rick & Sloot, Peter, 2022. "Dynamic importance of network nodes is poorly predicted by static structural features," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    4. William G P Mayner & William Marshall & Larissa Albantakis & Graham Findlay & Robert Marchman & Giulio Tononi, 2018. "PyPhi: A toolbox for integrated information theory," PLOS Computational Biology, Public Library of Science, vol. 14(7), pages 1-21, July.
    5. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Shanmugavel, Nagarajan & Balakrishnan, Janarthanan, 2023. "Influence of pro-environmental behaviour towards behavioural intention of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    7. Temel, Tugrul & Phumpiu, Paul, 2023. "Policy Design from a Network Perspective: Targeting a Sector, Cascade of Links, Network Resilience," MPRA Paper 118389, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:acsxxx:v:11:y:2008:i:01:n:s0219525908001465. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/acs/acs.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.