AbstractThe statistical entropy is shown to increase due to information loss introduced by a substitution of the total distribution function of a given system by (i) a product of distribution functions of lower orders and by (ii) a new distribution function transformed from the original one by an integral equation such as appearing in the theory of stochastic processes
The study of the statistical regularities observed in the field of the information production and us...
Burg’s entropy plays an important role in this age of information euphoria, particularly in understa...
<p>The information-driven action selection process leads to a (roughly) exponential decrease of entr...
AbstractThe statistical entropy is shown to increase due to information loss introduced by a substit...
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of informati...
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of informati...
We investigate how Shannon’s entropy changes when the distribution probability is modified by means ...
In (1) it is suggested that Shannon’s entropy - Sum over i P(i) ln(P(i)) be thought of as the averag...
This paper is part of a general study of efficient information selection, storage and processing. It...
The problem of increasing entropy through the transformation of the natural environment by economic ...
We provide a stochastic extension of the Baez–Fritz–Leinster characterization of the Shannon informa...
The entropy formulas of information theory are not rele-vant to the cost of obtaining knowledge nor ...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
To quantify the statistical nature of lost information in communication channels mathematically, Sha...
The term entropy is used in different meanings in different contexts, sometimes in contradictory way...
The study of the statistical regularities observed in the field of the information production and us...
Burg’s entropy plays an important role in this age of information euphoria, particularly in understa...
<p>The information-driven action selection process leads to a (roughly) exponential decrease of entr...
AbstractThe statistical entropy is shown to increase due to information loss introduced by a substit...
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of informati...
There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of informati...
We investigate how Shannon’s entropy changes when the distribution probability is modified by means ...
In (1) it is suggested that Shannon’s entropy - Sum over i P(i) ln(P(i)) be thought of as the averag...
This paper is part of a general study of efficient information selection, storage and processing. It...
The problem of increasing entropy through the transformation of the natural environment by economic ...
We provide a stochastic extension of the Baez–Fritz–Leinster characterization of the Shannon informa...
The entropy formulas of information theory are not rele-vant to the cost of obtaining knowledge nor ...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
To quantify the statistical nature of lost information in communication channels mathematically, Sha...
The term entropy is used in different meanings in different contexts, sometimes in contradictory way...
The study of the statistical regularities observed in the field of the information production and us...
Burg’s entropy plays an important role in this age of information euphoria, particularly in understa...
<p>The information-driven action selection process leads to a (roughly) exponential decrease of entr...
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