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1

Syau, Yu-Ru, e En-Bing Lin. "Evidence Theory in Incomplete Information Tables". International Journal of Machine Learning and Computing 5, n. 3 (giugno 2015): 242–46. http://dx.doi.org/10.7763/ijmlc.2015.v5.514.

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2

HAYASHI, Masahito. "Role of Quantum Information Theory in Information Theory". IEICE ESS Fundamentals Review 10, n. 1 (2016): 4–13. http://dx.doi.org/10.1587/essfr.10.1_4.

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3

MANDUSIC, Dubravka, e Lucija BLASKOVIC. "Information Literacy, Theory and Practice in Education". Revista Romaneasca pentru Educatie Multidimensionala 5, n. 1 (30 giugno 2013): 47–58. http://dx.doi.org/10.18662/rrem/2013.0501.04.

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4

Khouzani, MHR, e Pasquale Malacaria. "Information Theory in Game Theory". Entropy 20, n. 11 (24 ottobre 2018): 817. http://dx.doi.org/10.3390/e20110817.

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Abstract (sommario):
Information theory, as the mathematics of communication and storage of information, and game theory, as the mathematics of adversarial and cooperative strategic behaviour, are each successful fields of research on their own. [...]
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5

Ellerman, David. "Logical information theory: new logical foundations for information theory". Logic Journal of the IGPL 25, n. 5 (7 agosto 2017): 806–35. http://dx.doi.org/10.1093/jigpal/jzx022.

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6

Ashby, F. Gregory, e Kenneth H. Norwich. "Resurrecting Information Theory". American Journal of Psychology 108, n. 4 (1995): 609. http://dx.doi.org/10.2307/1423078.

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7

Wills, S. "Quantum Information Theory". Irish Mathematical Society Bulletin 0082 (2018): 35–37. http://dx.doi.org/10.33232/bims.0082.35.37.

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8

van Lambalgen, Michiel. "Algorithmic Information Theory". Journal of Symbolic Logic 54, n. 4 (dicembre 1989): 1389. http://dx.doi.org/10.2307/2274821.

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9

Bennett, C. H., e P. W. Shor. "Quantum information theory". IEEE Transactions on Information Theory 44, n. 6 (1998): 2724–42. http://dx.doi.org/10.1109/18.720553.

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10

McCornack, Steven A. "Information manipulation theory". Communication Monographs 59, n. 1 (marzo 1992): 1–16. http://dx.doi.org/10.1080/03637759209376245.

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11

Burgin, Mark. "Evolutionary Information Theory". Information 4, n. 2 (11 aprile 2013): 124–68. http://dx.doi.org/10.3390/info4020124.

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12

van Lambalgen, Michiel. "Algorithmic information theory". Journal of Symbolic Logic 54, n. 4 (dicembre 1989): 1389–400. http://dx.doi.org/10.1017/s0022481200041153.

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13

Shepherdson, J. C. "Algorithmic information theory". Science of Computer Programming 11, n. 1 (ottobre 1988): 98–99. http://dx.doi.org/10.1016/0167-6423(88)90073-1.

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14

Klir, George J. "Generalized information theory". Fuzzy Sets and Systems 40, n. 1 (marzo 1991): 127–42. http://dx.doi.org/10.1016/0165-0114(91)90049-v.

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15

Hutter, Marcus. "Algorithmic information theory". Scholarpedia 2, n. 3 (2007): 2519. http://dx.doi.org/10.4249/scholarpedia.2519.

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16

Tononi, Giulio. "Integrated information theory". Scholarpedia 10, n. 1 (2015): 4164. http://dx.doi.org/10.4249/scholarpedia.4164.

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17

Klir, George J., e David Harmanec. "Generalized information theory". Kybernetes 25, n. 7/8 (ottobre 1996): 50–67. http://dx.doi.org/10.1108/03684929610149657.

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18

Enßlin, Torsten A. "Information Theory: Information Theory for Fields (Ann. Phys. 3/2019)". Annalen der Physik 531, n. 3 (marzo 2019): 1970017. http://dx.doi.org/10.1002/andp.201970017.

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19

D’Ariano, Giacomo M., e Paolo Perinotti. "Quantum Theory is an Information Theory". Foundations of Physics 46, n. 3 (28 luglio 2015): 269–81. http://dx.doi.org/10.1007/s10701-015-9935-0.

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20

Johnson, Don H. "Information Theory and Neural Information Processing". IEEE Transactions on Information Theory 56, n. 2 (febbraio 2010): 653–66. http://dx.doi.org/10.1109/tit.2009.2037047.

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21

Blain, Robert “Bob”. "The Information Chain Theory: Integrating Social Theory". International Journal of Interdisciplinary Social Sciences: Annual Review 5, n. 8 (2010): 283–308. http://dx.doi.org/10.18848/1833-1882/cgp/v05i08/51841.

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22

Trindade, Marco A. S., Sergio Floquet e Lourival M. Silva Filho. "Portfolio theory, information theory and Tsallis statistics". Physica A: Statistical Mechanics and its Applications 541 (marzo 2020): 123277. http://dx.doi.org/10.1016/j.physa.2019.123277.

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23

Golomb, Solomon W. "Probability, information theory, and prime number theory". Discrete Mathematics 106-107 (settembre 1992): 219–29. http://dx.doi.org/10.1016/0012-365x(92)90549-u.

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24

Liew, Anthony Chor-Beng, e Yu-Shen Chen. "Information Theory: Critical Analysis and Theory Construction". Asian Journal of Social Science Studies 8, n. 4 (6 dicembre 2023): 1. http://dx.doi.org/10.20849/ajsss.v8i4.1391.

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Abstract (sommario):
This paper covers a review of theory construction, a critical analysis of prior ‘information theory’, and an attempt in information theory construction. The outcome includes a theoretical statement and supporting propositions.
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25

Liese, F., e I. Vajda. "On Divergences and Informations in Statistics and Information Theory". IEEE Transactions on Information Theory 52, n. 10 (ottobre 2006): 4394–412. http://dx.doi.org/10.1109/tit.2006.881731.

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26

Burgin, Mark. "Information Theory: a Multifaceted Model of Information". Entropy 5, n. 2 (30 giugno 2003): 146–60. http://dx.doi.org/10.3390/e5020146.

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27

"Information theory". Choice Reviews Online 35, n. 09 (1 maggio 1998): 35–5122. http://dx.doi.org/10.5860/choice.35-5122.

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28

"Information theory". Computers & Mathematics with Applications 35, n. 5 (marzo 1998): 134. http://dx.doi.org/10.1016/s0898-1221(97)80240-4.

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29

"IEEE Information Theory Society information". IEEE Journal on Selected Areas in Information Theory 2, n. 4 (dicembre 2021): C2. http://dx.doi.org/10.1109/jsait.2021.3129407.

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30

"Information Foraging Theory". Journal of Japan Society for Fuzzy Theory and Systems 14, n. 2 (2002): 144. http://dx.doi.org/10.3156/jfuzzy.14.2_144_2.

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31

"Algorithmic information theory". Choice Reviews Online 26, n. 01 (1 settembre 1988): 26–0354. http://dx.doi.org/10.5860/choice.26-0354.

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32

Sysoev, Matvey Sergeevich. "Integrated information theory". Общенациональный интерактивный энциклопедический портал "Знания", n. 11 (2022). http://dx.doi.org/10.54972/00000001_2022_11_105.

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33

Dayan, Peter. "Metacognitive Information Theory". Open Mind, 9 luglio 2023, 1–19. http://dx.doi.org/10.1162/opmi_a_00091.

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Abstract The capacity that subjects have to rate confidence in their choices is a form of metacognition, and can be assessed according to bias, sensitivity and efficiency. Rich networks of domain-specific and domain-general regions of the brain are involved in the rating, and are associated with its quality and its use for regulating the processes of thinking and acting. Sensitivity and efficiency are often measured by quantities called meta–d′ and the M-ratio that are based on reverse engineering the potential accuracy of the original, primary, choice that is implied by the quality of the confidence judgements. Here, we advocate a straightforward measure of sensitivity, called meta–𝓘, which assesses the mutual information between the accuracy of the subject’s choices and the confidence reports, and two normalized versions of this measure that quantify efficiency in different regimes. Unlike most other measures, meta–𝓘-based quantities increase with the number of correctly assessed bins with which confidence is reported. We illustrate meta–𝓘 on data from a perceptual decision-making task, and via a simple form of simulated second-order metacognitive observer.
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34

Treumann, Rudolf A., e Wolfgang Baumjohann. "Kinetic theory of information—the dynamics of information". Frontiers in Physics 3 (30 marzo 2015). http://dx.doi.org/10.3389/fphy.2015.00019.

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35

Mezghani, Amine, Mohamed Akrout, Miguel R. Castellanos, Sandy Saab, Bertrand Hochwald, Robert W. Heath e Josef A. Nossek. "Reincorporating Circuit Theory Into Information Theory". IEEE BITS the Information Theory Magazine, 2023, 1–17. http://dx.doi.org/10.1109/mbits.2023.3346329.

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36

Hilbert, Martin. "Evolution Processes Information Linking the Theory of Evolution and Information Theory". SSRN Electronic Journal, 2014. http://dx.doi.org/10.2139/ssrn.2518608.

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37

"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks". IEEE Transactions on Information Theory 52, n. 10 (2006): 4752. http://dx.doi.org/10.1109/tit.2006.884398.

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38

"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks". IEEE Transactions on Information Theory 53, n. 2 (febbraio 2007): 864. http://dx.doi.org/10.1109/tit.2007.891236.

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39

"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks". IEEE Transactions on Information Theory 53, n. 3 (marzo 2007): 1252. http://dx.doi.org/10.1109/tit.2007.893161.

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40

"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks". IEEE Transactions on Information Theory 53, n. 4 (aprile 2007): 1616. http://dx.doi.org/10.1109/tit.2007.895014.

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41

Deng, Ran. "Code: From Information Theory to French Theory". Communication Review, 28 giugno 2023, 1–3. http://dx.doi.org/10.1080/10714421.2023.2229648.

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42

Parikka, Jussi. "Code From Information Theory to French Theory". Leonardo, 20 novembre 2023, 108–9. http://dx.doi.org/10.1162/leon_r_02482.

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43

Pedwell, Carolyn. "Code: From Information Theory to French Theory". Theory, Culture & Society, 7 novembre 2023. http://dx.doi.org/10.1177/02632764231201331.

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Abstract (sommario):
Assembling a distinctive genealogy of cybernetic thought situated in relation to Progressive Era technocracy, industrial capitalism, (de)colonial relations, and eugenic machinery, Code uncovers the vital interdependence of informatics, the humanities, and the human sciences in the 20th century. Rather than figuring cybernetics as emerging from Second World War military technologies and post-war digital computing, Code argues that liberal technocrats’ inter-war visions of social welfare delivered via ‘neutral’ communication techniques shaped the informatic interventions of both the Second World War and the Cold War. Tracing how an organizing concept of code linked the work of diverse structurally-minded thinkers, such as Norbert Wiener, Warren Weaver, Margaret Mead, Gregory Bateson, Claude Lévi-Strauss, Roman Jakobson, Jacques Lacan, Roland Barthes, and Luce Irigaray, Bernard Dionysius Geoghegan reconstructs the cybernetic apparatus that spawned new fields, including structural anthropology, family therapy, and literary semiology – and grapples with the unfolding implications of such socio-technical dynamics for 21st-century critical theory, digital media, and data analytics.
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44

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 67, n. 2 (febbraio 2021): C2. http://dx.doi.org/10.1109/tit.2021.3051440.

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45

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 67, n. 6 (giugno 2021): C2. http://dx.doi.org/10.1109/tit.2021.3072471.

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46

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 67, n. 6 (giugno 2021): C2. http://dx.doi.org/10.1109/tit.2021.3072521.

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47

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 67, n. 3 (marzo 2021): C2. http://dx.doi.org/10.1109/tit.2021.3057965.

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48

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 67, n. 4 (aprile 2021): C2. http://dx.doi.org/10.1109/tit.2021.3065351.

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49

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 68, n. 8 (agosto 2022): C2. http://dx.doi.org/10.1109/tit.2022.3186602.

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50

"IEEE Transactions on Information Theory publication information". IEEE Transactions on Information Theory 68, n. 9 (settembre 2022): C2. http://dx.doi.org/10.1109/tit.2022.3195652.

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