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1	Intuition and Ingenuity: Gödel on Turing’s “Philosophical Error”
	Long Chen
	In: Philosophies; Volume 7; Issue 2; Pages: 33 (2022)
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2	Undecidability and Complexity for Super-Turing Models of Computation
	Eugene Eberbach
	In: Proceedings; Volume 81; Issue 1; Pages: 123 (2022)
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3	Ingénierie sémiotique et modélisation diagrammatique ; Ingénierie sémiotique et modélisation diagrammatique: au-delà du modèle de Turing
	Ferri, Fabien
	In: https://hal.archives-ouvertes.fr/hal-03450312 ; 2021 (2021)
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4	Ingénierie sémiotique et modélisation diagrammatique ; Ingénierie sémiotique et modélisation diagrammatique: au-delà du modèle de Turing
	Ferri, Fabien
	In: https://hal.archives-ouvertes.fr/hal-03450312 ; 2021 (2021)
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5	Contextual information helps understand messages written with textisms - Data Repository ...
	Jacquet, Baptiste. - : Open Science Framework, 2021
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6	The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence
	Strathearn, Carl; Ma, Minhua. - 2021
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7	On Turing Machines Deciding According to the Shortest Computations
	Florin Manea
	In: Axioms ; Volume 10 ; Issue 4 (2021)
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8	Deceitful media: Artificial intelligence and social life after the Turing Test
	Simone Natale. - : Oxford University Press, 2021. : country:USA, 2021. : place:New York, 2021
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9	Manual Re-evaluation of Translation Quality of WMT 2018 English-Czech systems
	Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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10	Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model
	Jorge M. Silva; Eduardo Pinho; Sérgio Matos...
	In: Entropy ; Volume 22 ; Issue 1 (2020)
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11	6.803 / 6.833 The Human Intelligence Enterprise, Spring 2002 ; The Human Intelligence Enterprise
	Winston, Patrick Henry. - 2020
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12	6.803 / 6.833 The Human Intelligence Enterprise, Spring 2006 ; The Human Intelligence Enterprise
	Winston, Patrick Henry. - 2020
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13	Questioning Turing test
	Damassino, Nicola Michele. - : The University of Edinburgh, 2020
	Abstract: The Turing Test (TT) is an experimental paradigm to test for intelligence, where an entity’s intelligence is inferred from its ability, during a text-based conversation, to be recognized as a human by the human judge. The advantage of this paradigm is that it encourages alternative versions of the test to be designed; and it can include any field of human endeavour. However, it has two major problems: (i) it can be passed by an entity that produces uncooperative but human-like responses (Artificial Stupidity); and (ii) it is not sensitive to how the entity produces the conversation (Blockhead). In light of these two problems, I propose a new version of the TT, the Questioning Turing Test (QTT). In the QTT, the task of the entity is not to hold a conversation, but to accomplish an enquiry with as few human-like questions as possible. The job of the human judge is to provide the answers and, like in the TT, to decide whether the entity is human or machine. The QTT has the advantage of parametrising the entity along two further dimensions in addition to ‘human-likeness’: ‘correctness’, evaluating if the entity accomplishes the enquiry; and ‘strategicness’, evaluating how well the entity carries out the enquiry, in terms of the number of questions asked – the fewer, the better. Moreover, in the experimental design of the QTT, the test is not the enquiry per se, but rather the comparison between the performances of humans and machines. The results gained from the QTT show that its experimental design minimises false positives and negatives; and avoids both Artificial Stupidity and Blockhead.
	Keyword: artificial intelligence; Turing Test
	URL: https://hdl.handle.net/1842/37290 https://doi.org/10.7488/era/576
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14	Twenty Years Beyond the Turing Test: Moving Beyond the Human Judges Too
	Hernández-Orallo, José. - : Springer-Verlag, 2020
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15	Information at the Threshold of Interpretation, Science as Human Construction of Sense.
	Longo, Giuseppe
	In: A Critical Reflection on Automated Science – Will Science Remain Human? ; https://hal.archives-ouvertes.fr/hal-02903688 ; Bertolaso, Marta; Sterpetti, Fabio. A Critical Reflection on Automated Science – Will Science Remain Human?, Springer Nature Switzerland AG, pp.67-100, 2019, 3030250008, 978-3030250003 ; https://www.springer.com/ (2019)
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16	On Aperiodic Reversible Turing Machines (invited talk)
	Ollinger, Nicolas
	In: Reversible Computation 10th International Conference (RC 2018) ; https://hal.archives-ouvertes.fr/hal-01984995 ; Reversible Computation 10th International Conference (RC 2018), Sep 2018, Leicester, United Kingdom. pp.61-64, ⟨10.1007/978-3-319-99498-7_4⟩ (2018)
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17	Improbotics: Exploring the Imitation Game Using Machine Intelligence in Improvised Theatre
	Mathewson, Kory; Mirowski, Piotr
	In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 14 No. 1 (2018): Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2018)
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18	From Big Data to Deep Learning: A Leap Towards Strong AI or ‘Intelligentia Obscura’?
	Stefan Strauß
	In: Big Data and Cognitive Computing ; Volume 2 ; Issue 3 (2018)
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19	AI to Bypass Creativity. Will Robots Replace Journalists? (The Answer Is “Yes”)
	Andrey Miroshnichenko
	In: Information ; Volume 9 ; Issue 7 (2018)
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20	Programação como forma de vida : uma crítica ao representacionalismo na teoria da computação ; Computer programming as form of life : a critique of representationalism in theory of computation
	Leme, Renato Reis. - 2018
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