A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its initial segments from above satisfies that the difference between the approximation and the actual value of the Kolmogorov complexity of the initial segments dominates every constant function. We study for different lower bounds r of this difference between approximation and actual value of the initial segment complexity, which properties the corresponding r(n)-deep sets have. We prove that for r(n) = εn, depth coincides with highness on the Turing degrees. For smaller choices of r, i.e., r is any recursive order function, we show that depth implies either highness or diagonally-non-recursiveness (DNR). In particular, for left-r.e. se...
When presented with a string or sequence of zeros and ones, that is an element of {0, 1}≤ω, it is o...
We show there is a non-recursive r.e. set A such that if W is any low r.e. set, then the join W # ...
Antunes, Fortnow, van Melkebeek and Vinodchandran captured the notion of non-random information by c...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
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...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
This paper investigates Bennett\u27s notions of strong and weak computational depth (also called log...
AbstractThis paper reviews and investigates Bennett's notions of strong and weak computational depth...
Depth of an object concerns a tradeoff between computation time and excess of program length over th...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
When presented with a string or sequence of zeros and ones, that is an element of {0, 1}≤ω, it is o...
We show there is a non-recursive r.e. set A such that if W is any low r.e. set, then the join W # ...
Antunes, Fortnow, van Melkebeek and Vinodchandran captured the notion of non-random information by c...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
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...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
This paper investigates Bennett\u27s notions of strong and weak computational depth (also called log...
AbstractThis paper reviews and investigates Bennett's notions of strong and weak computational depth...
Depth of an object concerns a tradeoff between computation time and excess of program length over th...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
When presented with a string or sequence of zeros and ones, that is an element of {0, 1}≤ω, it is o...
We show there is a non-recursive r.e. set A such that if W is any low r.e. set, then the join W # ...
Antunes, Fortnow, van Melkebeek and Vinodchandran captured the notion of non-random information by c...