When worlds collide: Derandomization, lower bounds, and Kolmogorov complexity

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Abstract

This paper has the following goals: – To survey some of the recent developments in the field of derandomization. – To introduce a new notion of time-bounded Kolmogorov complexity (KT), and show that it provides a useful tool for understanding advances in derandomization, and for putting various results in context. – To illustrate the usefulness of KT, by answering a question that has been posed in the literature, and – To pose some promising directions for future research.

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APA

Allender, E. (2001). When worlds collide: Derandomization, lower bounds, and Kolmogorov complexity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2245, pp. 1–15). Springer Verlag. https://doi.org/10.1007/3-540-45294-x_1

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