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The dark side of AI transparency: investigating AI-induced anxiety, technostress, and consumer satisfaction through a hybrid SEM-ANN approach. [PDF]
Jia W +4 more
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A dual-process psychological model of impulse buying in digital commerce: evidence from livestream and marketplace contexts. [PDF]
Xilai Q +4 more
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Algorithmic information theory, free will, and the Turing test
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Enhancing media literacy to combat information fragmentation in digital short video platforms: a cross-sectional study. [PDF]
Yu T, Wei C, Na M, Alam SS.
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Information-Theoretic Security and Privacy in Modern Data-Driven Systems. [PDF]
Seif M, Sun H.
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ALGORITHMIC INFORMATION THEORY
Cambridge tracts in theoretical computer science, 1987Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Gödel's incompleteness theorem, using an information theoretic approach based on the size of computer programs. One half of the book is concerned with studying the halting probability of a universal computer if its program is chosen by ...
G. Chaitin
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ALGORITHMIC INFORMATION THEORY
This paper reviews algorithmic information theory, which is an attempt to apply information-theoretic and probabilistic ideas to recursive function theory.
G. J. Chaitin
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Algorithmic Information Theory
SpringerBriefs in Mathematical Physics, 2019In this chapter, we review the basic framework of algorithmic information theory to the extent necessary to read the rest of the book.
K. Tadaki
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Entropy and algorithmic complexity in quantum information theory
Natural Computing, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F Benatti, Benatti Fabio
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