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  Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference

Janzing, D., Chaves, R., & Schölkopf, B. (2016). Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference. New Journal of Physics, 18(9): 093052. doi:10.1088/1367-2630/18/9/093052.

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 Creators:
Janzing, D.1, Author           
Chaves, R.2, Author           
Schölkopf, B.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2016-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: JanChaSch16
DOI: 10.1088/1367-2630/18/9/093052
 Degree: -

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Title: New Journal of Physics
  Abbreviation : New J. Phys.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Bristol : IOP Publishing
Pages: - Volume / Issue: 18 (9) Sequence Number: 093052 Start / End Page: - Identifier: ISSN: 1367-2630
CoNE: https://pure.mpg.de/cone/journals/resource/954926913666