Cited by 471Computability, Logic, AI AlgorithmsCellular Automata and ApplicationsComplex Systems and Dynamics

Computational Mechanics: Pattern and Prediction, Structure and Simplicity

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Shalizi, Cosma Rohilla, Crutchfield, James P.·2001·Journal of Statistical Physics

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Crossref · 10.1023/a:1010388907793

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  • The proposed measures can be applied to abstract, biological, economic, social or technological systems.

    “These can be abstract (e.g. Turing machines (Delahaye and Zenil, 2007, 2012), ϵ -machines (Shalizi and Crutchfield, 2001; G¨ ornerup and Crutchfield, 2008)), biological (ecosystems, organisms), economic, social or technological (Helbing, 2011).”

    From Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis (2013) · cites this paper as Shalizi and Crutchfield, 2001

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Authors
Shalizi, C. R., & Crutchfield, J. P.
Affiliations
Santa Fe Institute (US)
Venue
Journal of Statistical Physics
Published
2001-08
Volume
104
Issue
3-4
Pages
817-879
ISSN
  • 0022-4715 (ISSN-L)
  • 1572-9613
OpenAlex
W1551871633
Cited by
471
References
7
Citations by year
2026: 31 · 2025: 22 · 2024: 28 · 2023: 15 · 2022: 20 · 2021: 16 · 2020: 23 · 2019: 23 · 2018: 25 · 2017: 29 · 2016: 24 · 2015: 24 · 2014: 20 · 2013: 26 · 2012: 20
FWCI
11.27
Type
journal article
Language
en
Open access
Locations
  • Journal of Statistical Physics (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (9970158)
  • Santa Fe Institute
  • Science Foundation Ireland
  • Defense Advanced Research Projects Agency
  • Office of Naval Research (N00014-95-1-0975)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
Keywords
computational mechanics, causal states, structural complexity, prediction, minimal representation, randomness measures, ergodic theory, information theory

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