Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Turing degree

In computer science and mathematical logic the Turing degree (named after Alan Turing) or degree of unsolvability of a set of natural numbers measures the level of algorithmic unsolvability of the set.

Research & Science

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Turing degree. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Turing equivalence

Basic properties of the Turing degrees

Structure of the Turing degrees

Recursively enumerable Turing degrees

Post's problem and the priority method

Monographs (undergraduate level)

Monographs and survey articles (graduate level)

Research papers

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Turing degree

Nodes81
Edges80
Triples100
Avg. degree1.98
Density0.024691
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Turing degree

Top relations

related to Research papers · 60
Turing degree → Advances, Alistair, American Mathematical Society, André, Annals, August, Bulletin, Chong, DeAntonio, December, Defining, Emil, First-order, Interpretability, ISSN, Jasper, Journal, JSTOR, Kleene, Lachlan
related to Post's problem and the priority method · 16
Turing degree → Ae, An, At, Be, Emil Post, For, Friedberg, Muchnik, Post's, Priority, Sometimes, The, Their, These, This, Turing
related to Order properties · 8
Turing degree → An, Assuming, Every, In, The Turing, There, Thus, Turing
related to overview · 6
Turing degree → Furthermore, It, The, The Turing, Turing, Two
related to Basic properties of the Turing degrees · 5
Turing degree → Every Turing, For, The, There, Turing
related to Structure of the Turing degrees · 3
Turing degree → One, The, Turing
is a · 2
Turing degree → collection of Turing equivalent sets, equivalence class of the relation

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

degrees turing degree set displaystyle doi sets 10 isbn recursively enumerable priority every unsolvability mr theory mathematics logic jstor mathematical

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Turing degreeis acollection of Turing equivalent sets0.90text
Turing degreeis aequivalence class of the relation0.90text
Turing degreerelated to Basic properties of the Turing degreesEvery Turing0.60section
Turing degreerelated to Basic properties of the Turing degreesThere0.60section
Turing degreerelated to Basic properties of the Turing degreesTuring0.60section
Turing degreerelated to Basic properties of the Turing degreesFor0.60section
Turing degreerelated to Basic properties of the Turing degreesThe0.60section
Turing degreerelated to Order propertiesThere0.60section
Turing degreerelated to Order propertiesThus0.60section
Turing degreerelated to Order propertiesThe Turing0.60section
Turing degreerelated to Order propertiesIn0.60section
Turing degreerelated to Order propertiesTuring0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.