Results 11 to 20 of about 750,104 (309)
A Novel Approach to the Partial Information Decomposition
We consider the “partial information decomposition” (PID) problem, which aims to decompose the information that a set of source random variables provide about a target random variable into separate redundant, synergistic, union, and unique components. In
Artemy Kolchinsky
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General theory of information transfer: Updated
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahlswede, Rudolf
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Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory [PDF]
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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Conference Theoretical Information Studies Berkeley 2019
This paper has a two-fold goal. In the first part, the area of theoretical information studies is described. In second part, contributions to the conference “Theoretical Information Studies” (Berkeley 2019) are characterized.
Mark Burgin
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Generalized information theory for hints
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
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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General Information Theory: Time and Information
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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The Need for an Informational Systems Approach to Security
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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Is Information Physical and Does It Have Mass?
Some researchers suggest that information is a form of matter, calling it the fifth state of matter or the fifth element. Recent results from the general theory of information (GTI) contradict this. This paper aims to explain and prove that the claims of
Mark Burgin, Rao Mikkilineni
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Uncertainty and information: Foundations of generalized information theory [PDF]
Hasselt Univ, B-3590 Diepenbeek, Belgium.EGGHE, L, Hasselt Univ, Campus Diepenbeek Agorolaan, B-3590 Diepenbeek, Belgium.leo.egghe@uhasselt ...
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