Book contents
- Frontmatter
- Contents
- Preface
- Resource bounded genericity
- On isolating r.e. and isolated d-r.e. degrees
- A characterisation of the jumps of minimal degrees below 0′
- Array nonrecursive degrees and genericity
- Dynamic properties of computably enumerable sets
- Axioms for subrecursion theories
- On the ∀ ∃ - theory of the factor lattice by the major subset relation
- Degrees of generic sets
- Embeddings into the recursively enumerable degrees
- On a question of Brown and Simpson
- Relativization of structures arising from computability theory
- A Hierarchy of domains with totality, but without density
- Inductive inference of total functions
- The Medvedev lattice of degrees of difficulty
- Extension of embeddings on the recursively enumerable degrees modulo the cappable degrees
- APPENDIX: Questions in Recursion Theory
The Medvedev lattice of degrees of difficulty
Published online by Cambridge University Press: 23 February 2010
- Frontmatter
- Contents
- Preface
- Resource bounded genericity
- On isolating r.e. and isolated d-r.e. degrees
- A characterisation of the jumps of minimal degrees below 0′
- Array nonrecursive degrees and genericity
- Dynamic properties of computably enumerable sets
- Axioms for subrecursion theories
- On the ∀ ∃ - theory of the factor lattice by the major subset relation
- Degrees of generic sets
- Embeddings into the recursively enumerable degrees
- On a question of Brown and Simpson
- Relativization of structures arising from computability theory
- A Hierarchy of domains with totality, but without density
- Inductive inference of total functions
- The Medvedev lattice of degrees of difficulty
- Extension of embeddings on the recursively enumerable degrees modulo the cappable degrees
- APPENDIX: Questions in Recursion Theory
Summary
Introduction
The Medvedev lattice was introduced in [5] as an attempt to make precise the idea, due to Kolmogorov, of identifying true propositional formulas with identically “solvable” problems. A mass problem is any set of functions (throughout this paper “function” means total function from ω to ω; the small Latin letters f, g, h,… will be used as variables for functions). Mass problems correspond to informal problems in the following sense: given any “informal problem”, a mass problem corresponding to it is a set of functions which “solve” the problem, and at least one such function can be “obtained” by any “solution” to the problem (see [10]).
Example 1.1 If A, B ⊆ ω are sets, and φ is a partial function, then the following are mass problems:
{CA} (where CA is the characteristic function of A): this is called the problem of solvability of A; this mass problem will be denoted by the symbol SA;
{f : range(f) = A}: the problem of enumerability of A; this mass problem will be denoted by the symbol εA;
(Other examples) The problem of separability of A and B, i.e. {f : f−1(0) = A & f−1(1) = B}; of course, this mass problem is empty if A∩B ≠ Ø: it is absolutely impossible to “solve” the problem in this case. The problem of many-one reducibility of A to B: {f : f−l(B) = A}. The problem of extendibility of φ: {f : f ⊇ φ}.
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- Information
- Computability, Enumerability, UnsolvabilityDirections in Recursion Theory, pp. 289 - 312Publisher: Cambridge University PressPrint publication year: 1996
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