Using amplification to compute majority with small majority gates
Computational Complexity
Systems of functional equations
Random Structures & Algorithms - Special issue: average-case analysis of algorithms
Some typical properties of large AND/OR Boolean formulas
Random Structures & Algorithms
Coloring rules for finite trees, and probabilities of monadic second order sentences
Random Structures & Algorithms
Statistical properties of simple types
Mathematical Structures in Computer Science
Combinatorics, Probability and Computing
The Boolean functions computed by random Boolean formulas or how to grow the right function
Random Structures & Algorithms
On asymptotic divergency in equivalential logics
Mathematical Structures in Computer Science
Amplification of probabilistic boolean formulas
SFCS '85 Proceedings of the 26th Annual Symposium on Foundations of Computer Science
Analytic Combinatorics
Asymptotic Density for Equivalence
Electronic Notes in Theoretical Computer Science (ENTCS)
Classical and intuitionistic logic are asymptotically identical
CSL'07/EACSL'07 Proceedings of the 21st international conference, and Proceedings of the 16th annuall conference on Computer Science Logic
The fraction of large random trees representing a given Boolean function in implicational logic
Random Structures & Algorithms
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We consider the logical system of boolean expressions built on the single connector of implication and on positive literals. Assuming all expressions of a given size to be equally likely, we prove that we can define a probability distribution on the set of boolean functions expressible in this system. We then show how to approximate the probability of a function fwhen the number of variables grows to infinity, and that this asymptotic probability has a simple expression in terms of the complexity of f. We also prove that most expressions computing any given function in this system are "simple", in a sense that we make precise.