Titlebook: Relative Information; Theories and Applica Guy Jumarie Book 1990 Springer-Verlag Berlin Heidelberg 1990 Communication Theory.Decision Theor

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A Theory of Relative Information,content of a given message explicitly depends upon the state of the observer. After a short analysis of the phenomena of observation and of aggregation, we introduce the particular case of linear observations with informational invariance and we arrive at the existence of two models: one with Euclid

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A Theory of Subjective Information, we describe the space of symbols and the space of meanings by means of two probability distributions; and second, we slightly modify the Shannonian concept of transinformation to introduce some references to semantics in the information transmission from sender to receiver.

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A Unified Approach to Informational Entropies via Minkowskian Observation, the so-called Lorentz-Poincaré equations. This result applies to any class of observables provided that the relevant axioms are physically meaningful. One then assumes that the observable is the Hartley’s uncertainty (—ln ..),and one assumes that the informational entropy of the experiment is the m

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A Theory of Relative Statistical Decision,niverse, which is encoded by a formal representation. In most cases, this observation involves subjectivity, the latter being considered the result of interactions between prior internal definition and posterior measurement. Our purpose in the present chapter is to derive a quantitative model for th

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Book 1990ally referred to as Shannon entropy. Since the publication of Shannon‘s seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and developed body

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0172-7389 ation, usually referred to as Shannon entropy. Since the publication of Shannon‘s seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and devel