AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of computational history that is evident in an object's structure. In particular, Bennett identified the classes of weakly deep and strongly deep sequences and showed that the halting problem is strongly deep. Juedes, Lathrop, and Lutz subsequently extended this result by defining the class of weakly useful sequences and proving that every weakly useful sequence is strongly deep. The present paper investigates refinements of Bennett's notions of weak and strong depth, called recursively weak depth (introduced by Fenner, Lutz, and Mayordomo) and recursively strong depth (introduced here). It is argued that these refinements naturally capture Bennet...
AbstractA programming language designed for studies of parallelism and based on Wagner'suniformly re...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
AbstractThis paper reviews and investigates Bennett's notions of strong and weak computational depth...
This paper investigates Bennett\u27s notions of strong and weak computational depth (also called log...
. An infinite binary sequence x is defined to be 1. strongly useful if there is a recursive time bou...
Depth of an object concerns a tradeoff between computation time and excess of program length over th...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
AbstractAn infinite binary sequence x is defined to be(i)strongly useful if there is a computable ti...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
We study Bennett deep sequences in the context of recursion theory; in particular we investigate the...
We introduce the notion of limit-depth, as a notion similar to Bennett depth, but well behaved on T...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
AbstractA programming language designed for studies of parallelism and based on Wagner'suniformly re...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
AbstractThis paper reviews and investigates Bennett's notions of strong and weak computational depth...
This paper investigates Bennett\u27s notions of strong and weak computational depth (also called log...
. An infinite binary sequence x is defined to be 1. strongly useful if there is a recursive time bou...
Depth of an object concerns a tradeoff between computation time and excess of program length over th...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
AbstractAn infinite binary sequence x is defined to be(i)strongly useful if there is a computable ti...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
We study Bennett deep sequences in the context of recursion theory; in particular we investigate the...
We introduce the notion of limit-depth, as a notion similar to Bennett depth, but well behaved on T...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
AbstractA programming language designed for studies of parallelism and based on Wagner'suniformly re...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...