Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and put on a...

In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's...

Integrated information theory (IIT) proposes a mathematical model for the consciousness of a system. It comprises a framework ultimately intended to explain...

The receiver in information theory is the receiving end of a communicator channel. It receives decoded messages/information from the sender, who first...

discusses how information theory (a branch of mathematics studying the transmission, processing and storage of information) is related to measure theory (a branch...

in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information theory include...

information theory (AIT) is a branch of theoretical computer science that concerns itself with the relationship between computation and information of...

In information theory, redundancy measures the fractional difference between the entropy H(X) of an ensemble X, and its maximum possible value log ⁡ (...

subsequent leaks. Beyond applications to programming language, information flow control theories have been applied to operating systems, distributed systems...

Information processing theory is the approach to the study of cognitive development evolved out of the American experimental tradition in psychology....

Constraint in information theory is the degree of statistical dependence between or among variables. Garner provides a thorough discussion of various forms...

Organizational Information Theory (OIT) is a communication theory, developed by Karl Weick, offering systemic insight into the processing and exchange...

Quantum information is the information of the state of a quantum system. It is the basic entity of study in quantum information theory, and can be manipulated...

on Information Theory is a monthly peer-reviewed scientific journal published by the IEEE Information Theory Society. It covers information theory and...

might be thought of as gambling theory applied to the world around us. The myriad applications for logarithmic information measures tell us precisely how...

scientist and cryptographer known as the "father of information theory" and as the "father of the Information Age". Shannon was the first to describe the Boolean...

This is a list of information theory topics. A Mathematical Theory of Communication algorithmic information theory arithmetic coding channel capacity Communication...

Structural information theory (SIT) is a theory about human perception and in particular about visual perceptual organization, which is a neuro-cognitive...

In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two...

The Information: A History, a Theory, a Flood is a book by science history writer James Gleick, published in March 2011, which covers the genesis of the...

Information field theory (IFT) is a Bayesian statistical field theory relating to signal reconstruction, cosmography, and other related areas. IFT summarizes...

information theory, and brought it to immediate worldwide attention, was the publication of Claude E. Shannon's classic paper "A Mathematical Theory of...

similar to the information entropy by Claude Shannon and Ralph Hartley, developed in the 1940s. The defining expression for entropy in the theory of statistical...

Social information processing theory, also known as SIP, is a psychological and sociological theory originally developed by Salancik and Pfeffer in 1978...

A timeline of events related to  information theory,  quantum information theory and statistical physics,  data compression,  error correcting codes and...

Inequalities are very important in the study of information theory. There are a number of different contexts in which these inequalities appear. Consider...

In information theory, the information content, self-information, surprisal, or Shannon information is a basic quantity derived from the probability of...

Information Manipulation Theory (IMT) (McCornack 1992) & (McCornack et al. 1992) is a theory of deceptive discourse production, rooted in H. Paul Grice's...

continuous computational topics. Information theory involves the quantification of information. Closely related is coding theory which is used to design efficient...

distance away can interpret the flags and reproduce the words sent. In information theory and computer science, a code is usually considered as an algorithm...