arXiv · 0809.2546
Depth as Randomness Deficiency
Abstract
Depth of an object concerns a tradeoff between computation time and excess of program length over the shortest program length required to obtain the object. It gives an unconditional lower bound on the computation time from a given program in absence of auxiliary information. Variants known as logical depth and computational depth are expressed in Kolmogorov complexity theory. We derive quantitative relation between logical depth and computational depth and unify the different depth notions by relating them to A. Kolmogorov and L. Levin's fruitful notion of randomness deficiency. Subsequently, we revisit the computational depth of infinite strings, introducing the notion of super deep sequences and relate it with other approaches.
Explore related subjects
Keep this discovery
Luis Antunes, Armando Matos, Andre Souto, Paul Vitanyi. 2008-09-15. Depth as Randomness Deficiency. https://arxiv.org/abs/0809.2546
Cite the original work for its findings. Save a collection to share your selection of sources.