Research any topic before you write.

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

Turing test

The Turing test was designed by Alan Turing to assess a machine's ability to exhibit intelligent behaviour equivalent to that of a human by imitating interactive dialogue. In the modern version, a human evaluator judges a text transcript of a natural-language conversation between a human and a machine. The evaluator tries to identify the machine, and the…

History & Standards

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 test. 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

History

Attempts

Interpretations

Strengths

Weaknesses

Variations

Alternative tests for machine intelligence

Conferences

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 test

Nodes165
Edges164
Triples304
Avg. degree1.99
Density0.012121
Components1

How this topic connects Entity context

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

Turing test

Top relations

related to 2008 AISB Symposium · 24
Turing test → AISB, Andrew Hodges, Artificial Intelligence, Behaviour, Bringsjord, Huma Shah, In, John Barnden, Kevin Warwick, Loebner Prize, Mark Bishop, No, Owen Holland, Reading, Royal Institution's Director Baroness, Selmer Bringsjord, Simulation, Society, Study, Susan Greenfield
related to External links · 22
Turing test → Archived, Chedd-Angier Production Company, Edward, ISSN, January, Julian WagstaffTuring Test, Long Now Foundation, Mitch Kapor, New York Times, OCLC, Opera, PBS, Philosophy, Ray Kurzweil, Scientific American Frontiers, Stanford Encyclopedia, The, The Turing, The Turing Test, Turing
related to background · 17
Turing test → Brobdingnag, Descartes, Discourse, Even, Gulliver, Gulliver's Travels, Here Descartes, Jonathan Swift, Martian Odyssey, Method, René Descartes, Stanley, Tests, The, Turing, Weinbaum's, When Gulliver
related to Interpretations · 14
Turing test → According, Controversy, Huma Shah, OIG, Original Imitation Game Test, Shah, Standard Turing Test, Sterrett, STT, The, The OIG, Turing, Turing's, Unlike
related to Loebner Prize · 14
Turing test → AI, As Loebner, Behavioral Studies, Hugh Loebner, It, Loebner Prize, Massachusetts, November, The, The Cambridge Center, The Loebner Prize, This, Turing, United States
related to Turing Colloquium · 14
Turing test → April, Blay Whitby, Computing Machinery, Intelligence, Joseph Weizenbaum's ELIZA, Kenneth Colby's, Loebner Prize, PARRY, Sussex, Turing, Turing Colloquium, Turing's, Two, University
related to Impracticality and irrelevance: the Turing test and AI research · 13
Turing test → Aeronautical, AI, AI-related, First, Indeed, Mainstream AI, Most, Peter Norvig, Planes, Stuart Russell, There, To, Turing
related to The Chinese room · 13
Turing test → Arguments, Brains, Chinese, ELIZA, John Searle's, Minds, Much, Programs, Searle, Searle's, Therefore, Turing, Without
related to Other tests based on compression or Kolmogorov complexity · 12
Turing test → AIQ, Algorithmic IQ, Dowe, Hernandez-Orallo, Hutter, Hutter's, Kolmogorov, Legg, Other, Solomonoff's, Turing, Universal Intelligence Measure
related to Attempts · 11
Turing test → AI, ELIZA, English, In, Joseph Weizenbaum, Rogerian, Several, The, Turing, Weizenbaum, Weizenbaum's

Important terminology Word statistics

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

Important terminology

turing test intelligence human machine game computer one machines interrogator ai could paper imitation man would questions intelligent think prize

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Turing testis atest of indistinguishability in performance capacity0.90text
Turing testis afrequency of the confederate effect0.90text
Turing testis agood operational definition of intelligence0.90text
Searle'sinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
others working on the philosophy of mind sparked off a more intense debate about the nature of intelligenceinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
the possibility of machines with a conscious mindinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
the value of the Turing test that continued through the 1980sinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
1990s.Loebner PrizeThe Loebner Prizeinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
now reported as defunctinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
provided an annual platform for practical Turing tests with the first competition held in November 1991instance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
1990sinstance ofSearle's argument has been both widely criticised and endorsed.Arguments0.80text
literature or chemistry.Emphasis on emotionalinstance ofIt is a limited form of Turing's question-answer game which compares the machine against the abilities of experts in specific fields0.80text

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.