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Conference Papers Discrete Mathematics and Theoretical Computer Science Year : 2010

No Shannon effect on probability distributions on Boolean functions induced by random expressions

Abstract

The Shannon effect states that "almost all'' Boolean functions have a complexity close to the maximal possible for the uniform probability distribution. In this paper we use some probability distributions on functions, induced by random expressions, and prove that this model does not exhibit the Shannon effect.
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Dates and versions

hal-01185582 , version 1 (20-08-2015)

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Antoine Genitrini, Bernhard Gittenberger. No Shannon effect on probability distributions on Boolean functions induced by random expressions. 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10), 2010, Vienna, Austria. pp.303-316, ⟨10.46298/dmtcs.2784⟩. ⟨hal-01185582⟩
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