COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
A Theory of Program Size Formally Identical to Information Theory
Journal of the ACM (JACM)
Descriptive complexity of computable sequences
Theoretical Computer Science
Coins, Quantum Measurements, and Turing's Barrier
Quantum Information Processing
Functions Computable in the Limit by Probabilistic Machines
Proceedings of the 3rd Symposium on Mathematical Foundations of Computer Science
Towards Limit Computable Mathematics
TYPES '00 Selected papers from the International Workshop on Types for Proofs and Programs
Algorithmic Theories of Everything
Algorithmic Theories of Everything
A coding theorem for enumerable output machines
Information Processing Letters
Kolmogorov Complexity for Possibly Infinite Computations
Journal of Logic, Language and Information
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
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Computability in the limit represents the non-plus-ultra of constructive describability. It is well known that the limit computable functions on naturals are exactly those computable with the oracle for the halting problem. However, prefix (Kolmogorov) complexities defined with respect to these two models may differ. We introduce and compare several natural variations of prefix complexity definitions based on generalized Turing machines embodying the idea of limit computability, as well as complexities based on oracle machines, for both finite and infinite sequences.