On the combinatorial representation of information

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Abstract

Kolmogorov introduced a combinatorial measure of the information I(x : y) about the unknown value of a variable y conveyed by an input variable x taking a given value x. The paper extends this definition of information to a more general setting where 'x = x' may provide a vaguer description of the possible value of y. As an application, the space P({0, 1}n) of classes of binary functions f : [n] → {0, 1}, [n] = {1,..., n], is considered where y represents an unknown function t ∈ {0, 1}[n] and as input, two extreme cases are considered: x = xMd and x = xM′d which indicate that t is an element of a set G ⊆ {0, 1}n that satisfies a property Md or M′d respectively. Property Md (or M′d) means that there exists an E ⊆ [n], |E| = d, such that |trE(G)| = 1 (or 2d) where trE(G) denotes the trace of G on E. Estimates of the information value I(xMd : t) and I(xM′d: t) are obtained. When d is fixed, it is shown that I(xMd : t) ≈ d and I(x M′d : t) ≈ 1 as n → ∞. © Springer-Verlag Berlin Heidelberg 2006.

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Ratsaby, J. (2006). On the combinatorial representation of information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4112 LNCS, pp. 479–488). Springer Verlag. https://doi.org/10.1007/11809678_50

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