Turing Test: 50 Years Later
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The two-party formulation of the Turing test eliminates the confound of the third player's humanlikeness and is easier to implement.
“While this differs from Turing's original threeparty formulation, it has become a standard operationalisation of the test because it eliminates the confound of the third player's humanlikeness and is easier to implement [13,45,47].”
From People cannot distinguish GPT-4 from a human in a Turing test (2025) · cites this paper as [45]
Section 2.1 (page unavailable) argues the opposite of the stated rationale: the third participant provides a neutral point for comparison, and removing that comparison affects the interrogator’s decision. The paper does not say the two-party version is easier to implement. (LLM, conf=0.86)
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“Early pioneers such as Alan Turing laid the groundwork for evaluating intelligence through frameworks such as the Turing Test (Pinar Saygin et al., 2000), which posited that a key measure of an agent’s intelligence is the ability to produce behavior indistinguishable from that of a human.”
- Authors
- Pinar Saygin, A., Cicekli, I., & Akman, V.
- Affiliations
- Bilkent University (TR)
- Corresponding author
- Cicekli, Ilyas
- Akman, Varol
- Venue
- Minds and Machines
- Published
- 2000-11
- Volume
- 10
- Issue
- 4
- Pages
- 463-518
- ISSN
- 0924-6495 (ISSN-L)
- 1572-8641
- OpenAlex
- W1648383461
- Cited by
- 383
- References
- 111
- Citations by year
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- FWCI
- 32.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Minds and Machines (publishedVersion)
- Bilkent University Institutional Repository (Bilkent University) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- Turing test, Alan Turing, machine intelligence, philosophy of mind, behaviorism, consciousness, other minds, history of artificial intelligence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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