This paper investigates Bennett\u27s notions of strong and weak computational depth (also called logical depth) for infinite binary sequences. Roughly, an infinite binary sequence x is defined to be weakly useful if every element of a non-negligible set of decidable sequences is reducible to x in recursively bounded time. It is shown that every weakly useful sequence is strongly deep. This result (which generalizes Bennett\u27s observation that the halting problem is strongly deep) implies that every high Turing degree contains strongly deep sequences. It is also shown that, in the sense of Baire category, almost every infinite binary sequence is weakly deep, but not strongly deep
The structure and organization of information in binary strings and (infinite) binary sequences are ...
Following Trakhtenbrot's concept of autoreducible set, we look at the general phenomenon of autocomp...
AbstractIn this paper we look at the phenomenon of autocomputability of infinite binary sequences. W...
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...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
AbstractAn infinite binary sequence x is defined to be(i)strongly useful if there is a computable ti...
. 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...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
We introduce the notion of limit-depth, as a notion similar to Bennett depth, but well behaved on T...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
Following Trakhtenbrot's concept of autoreducible set, we look at the general phenomenon of autocomp...
AbstractIn this paper we look at the phenomenon of autocomputability of infinite binary sequences. W...
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...
AbstractIn the 1980s, Bennett introduced computational depth as a formal measure of the amount of co...
AbstractAn infinite binary sequence x is defined to be(i)strongly useful if there is a computable ti...
. 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...
Depth of an object concerns a tradeoff between computation time and excess of pro-gram length over t...
We introduce a general framework for defining the depth of an infinite binary sequence with respect...
We introduce the notion of limit-depth, as a notion similar to Bennett depth, but well behaved on T...
A sequence is Bennett deep [5] if every recursive approximation of the Kolmogorov complexity of its...
Torturing an uninformed witness cannot give information about the crime. Leonid Levin [Lev84] Abstra...
AbstractWe introduce Computational Depth, a measure for the amount of “nonrandom” or “useful” inform...
The structure and organization of information in binary strings and (infinite) binary sequences are ...
Following Trakhtenbrot's concept of autoreducible set, we look at the general phenomenon of autocomp...
AbstractIn this paper we look at the phenomenon of autocomputability of infinite binary sequences. W...