Randomized algorithms
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Theoretical Computer Science
High Complexity Tilings with Sparse Errors
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Effective closed subshifts in 1D can be implemented in 2D
Fields of logic and computation
Kolmogorov complexity as a language
CSR'11 Proceedings of the 6th international conference on Computer science: theory and applications
Fixed-point tile sets and their applications
Journal of Computer and System Sciences
Kolmogorov complexity, Lovász local lemma and critical exponents
CSR'07 Proceedings of the Second international conference on Computer Science: theory and applications
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Assume that for some αn a set Fn of at most 2αn “forbidden” binary strings of length n is fixed. Then there exists an infinite binary sequence ω that does not have (long) forbidden substrings. We prove this combinatorial statement by translating it into a statement about Kolmogorov complexity and compare this proofl with a combinatorial one based on Laslo Lovasz local lemma. Then we construct an almost periodic sequence with the same property (thus combines the results from [1] and[2]). Both the combinatorial proof and Kolmogorov complexity argument can be generalized to the multidimensional case.