Turing Test: 50 Years Later

By Ayse Pinar Saygin, Ilyas Cicekli. Minds and Machines, 2000

396 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/916023340b51142c48d5a75c27b1b962f6e665d9

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In Cognitive Neuroscience

Citations in the corpus

Universal Intelligence: A Definition of Machine Intelligence (2007, background): “igence Turing test and derivatives. The classic approach to determining whether a machine is intelligent is the so called Turing test [Tur50] which has been extensively debated over the last 50 years [SCA00]. Turing realised how diﬃcult it would be to directly deﬁnite intelligence and thus attempted”
Why and how to use virtual reality to study human social interaction: The challenges of exploring a new research landscape (2018, background): “Saygin, Cicekli, and Akman (2000) provide a fascinating history of the Turing test.”
A Turing Test for Computer Game Bots (2009, background): “The exposition of these responses is influenced by Saygin et al.'s review of the Turing Test [13], though we have given our own interpretations and omitted parts that do not seem relevant for our purposes.”
Are We There Yet? - A Systematic Literature Review on Chatbots in Education (2021, background): “Looking at the current advances in chatbot software development, it seems that this technology ’ s goal is to pass the Turing Test (Saygin et al., 2000) one day, which could make chatbots effective educational tools.”
OpenWorm: an open-science approach to modeling Caenorhabditis elegans (2014, methodology): “The Turing test is a subject of debate and there are ongoing discussion about its value as a scientiﬁc tool (Copeland, 2003; Saygin et al., 2003; LaCurts, 2011; Grosz, 2012; Berrar et al., 2013).”
Human heuristics for AI-generated language are flawed (2022, methodology): “The six experiments combined elements of a simplified Turing test (21) with a data labeling task.”