Information Flows in Causal Networks
نویسندگان
چکیده
SFI WORKING PAPER: 2006-05-014 SFI Working Papers contain accounts of scientific work of the author(s) and do not necessarily represent the views of the Santa Fe Institute. We accept papers intended for publication in peer-reviewed journals or proceedings volumes, but not papers that have already appeared in print. Except for papers by our external faculty, papers must be based on work done at SFI, inspired by an invited visit to or collaboration at SFI, or funded by an SFI grant. ©NOTICE: This working paper is included by permission of the contributing author(s) as a means to ensure timely distribution of the scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the author(s). It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may be reposted only with the explicit permission of the copyright holder. www.santafe.edu
منابع مشابه
Information Flows in Causal
We introduce a notion of causal independence based on virtual intervention, which is a fundamental concept of the theory of causal networks. Causal independence allows for deening a measure for the strength of a causal eeect. We call this information ow and compare it with known information ow measures such as the transfer entropy.
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ورودعنوان ژورنال:
- Advances in Complex Systems
دوره 11 شماره
صفحات -
تاریخ انتشار 2008