Theory of recursive functions and effective computability
Theory of recursive functions and effective computability
A Machine-Independent Theory of the Complexity of Recursive Functions
Journal of the ACM (JACM)
Toward a Theory of Enumerations
Journal of the ACM (JACM)
Classes of computable functions defined by bounds on computation: Preliminary Report
STOC '69 Proceedings of the first annual ACM symposium on Theory of computing
Computational Complexity and the Existence of Complexity Gaps
Journal of the ACM (JACM)
Recursive Properties of Abstract Complexity Classes
Journal of the ACM (JACM)
Complexity classes of partial recursive functions (Preliminary Version)
STOC '71 Proceedings of the third annual ACM symposium on Theory of computing
Recursive properties of abstract complexity classes (Preliminary Version)
STOC '70 Proceedings of the second annual ACM symposium on Theory of computing
The intensional content of Rice's theorem
Proceedings of the 35th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Complexity classes of partial recursive functions
Journal of Computer and System Sciences
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The study of Computational Complexity began with the investigation of Turing machine computations with limits on the amounts of tape or time which could be used. Latter a set of general axioms for measures of resource limiting was presented and this instigated much study of the properties of these general measures. Many interesting results were shown, but the general axioms allowed measures with undesirable properties and many attempts have been made to tighten up the axioms so that only desirable measures will be defined. In this paper several undecidability aspects of complexity classes and several sets associated with them will be examined. These sets will be classified by their degree of unsolvability and restrictions will be placed on measures so that these degrees are identical. This gives rise to a new criterion for the “naturalness” of measures and to suggestions for strengthening the measures of complexity.