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Information: Problems, Paradoxes, and Solutions
tripleC: Communication, Capitalism & Critique, 2008 The information age is upon us and the main paradox is that there is no satisfactory and commonly accepted answer to the crucial question what information is.
Mark Burgin
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Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory [PDF]
, 2005 Combining testimonial reports from independent and partially reliable information sources is an important problem of uncertain reasoning. Within the framework of Dempster-Shafer theory, we propose a general model of partially reliable sources which ...
Hartmann, Stephan +4 more
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Generalized information theory for hints
International Journal of Approximate Reasoning, 2013 This paper develops a new uncertainty measure for the theory of hints that complies with the established semantics of statistical information theory and further satisfies all classical requirements for such a measure imposed in the literature. The proposed functional decomposes into conversant uncertainty measures and therefore discloses a new ...
Marc Pouly +2 more
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Towards Generalizing the Information Theory for Neural Communication
Entropy, 2022 Neuroscience extensively uses the information theory to describe neural communication, among others, to calculate the amount of information transferred in neural communication and to attempt the cracking of its coding. There are fierce debates on how information is represented in the brain and during transmission inside the brain.
János Végh, Ádám József Berki
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Dengue-related information needs and seeking behavior of the general public in Singapore [PDF]
, 2019 Dengue infection is becoming a serious global health threat. Public awareness is a pre-requisite for the successful implementation of dengue prevention programs.
Lin, Xinying +3 more
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General Information Theory: Time and Information
CoRR, 2019 This paper introduces time into information theory, gives a more accurate definition of information, and unifies the information in cognition and Shannon information theory. Specially, we consider time as a measure of information, giving a definition of time, event independence at the time frame, and definition of conditional probability.
Yilun Liu 0006, Lidong Zhu
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Approximating probability distributions with short vectors, via information theoretic distance measures [PDF]
, 2016 Given a probability distribution p = (p1., pn) and an integer m < n, what is the probability distribution q = (q1., qm) that is 'the closest' to p, that is, that best approximates p?
VACCARO, Ugo +5 more
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The Need for an Informational Systems Approach to Security
tripleC: Communication, Capitalism & Critique, 2011 Different senses of security and its related assumptions, methodologies and contexts are analyzed by first reviewing the liberalistic notions of security and trust, unveiling, on the one hand, the contradictions exhibited between discourse and practice ...
José María Díaz Nafría
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Maxwell’s Demon and Comoving Observers in General Relativity: What Do They Have in Common?
Proceedings, 2017 We elaborate on the similarities between the explanation of the well known Maxwell’s demon paradox, based on the theory of information, and the rationale behind the fact that real dissipative (entropy producing) processes may be detected by non–comoving ...
Luis Herrera
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Maxwell’s Demon and the Problem of Observers in General Relativity
Entropy, 2018 The fact that real dissipative (entropy producing) processes may be detected by non-comoving observers (tilted), in systems that appear to be isentropic for comoving observers, in general relativity, is explained in terms of the information theory ...
Luis Herrera
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