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A Statistical Mechanical Interpretation of Algorithmic Information TheoryPartial Randomness

A Statistical Mechanical Interpretation of Algorithmic Information Theory: Partial Randomness [At the turn of the 21st century, Tadaki [40, 41] generalized Chaitin’s halting probability \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varOmega $$\end{document} to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varOmega (D)$$\end{document} as follows.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Statistical Mechanical Interpretation of Algorithmic Information TheoryPartial Randomness

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Publisher
Springer Singapore
Copyright
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
ISBN
978-981-15-0738-0
Pages
23 –34
DOI
10.1007/978-981-15-0739-7_3
Publisher site
See Chapter on Publisher Site

Abstract

[At the turn of the 21st century, Tadaki [40, 41] generalized Chaitin’s halting probability \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varOmega $$\end{document} to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varOmega (D)$$\end{document} as follows.]

Published: Nov 12, 2019

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