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Artificial General Intelligence (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Artificial General Intelligence" in German language version.

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22doi.org
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4elsevier.com
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2openai.com
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1yahoo.com
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1nih.gov
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1fortune.com
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1independent.co.uk
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aimultiple.com

research.aimultiple.com

businessinsider.com

cafe.com

cambridge.org

derstandard.de

doi.org

  • MaryAnne M. Gobble: The Road to Artificial General Intelligence. In: Research-Technology Management. Band 62, Nr. 3, 4. Mai 2019, ISSN 0895-6308, S. 55–59, doi:10.1080/08956308.2019.1587336.
  • Stevan Harnad: The symbol grounding problem. In: Physica D: Nonlinear Phenomena. Band 42, Nr. 1-3, Juni 1990, S. 335–346, doi:10.1016/0167-2789(90)90087-6 (elsevier.com [abgerufen am 11. April 2024]).
  • Marcus Hutter: Universal Artificial Intellegence (= Texts in Theoretical Computer Science An EATCS Series). Springer Berlin Heidelberg, Berlin, Heidelberg 2005, ISBN 3-540-22139-5, doi:10.1007/b138233.
  • Artificial General Intelligence: 7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014. Proceedings (= Lecture Notes in Computer Science. Band 8598). Springer International Publishing, Cham 2014, ISBN 978-3-319-09273-7, doi:10.1007/978-3-319-09274-4.
  • Henry Shevlin, Karina Vold, Matthew Crosby, Marta Halina: The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge. In: EMBO reports. Band 20, Nr. 10, 4. Oktober 2019, ISSN 1469-221X, doi:10.15252/embr.201949177, PMC 6776890 (freier Volltext).
  • William F. Clocksin: Artificial intelligence and the future. In: Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. Band 361, Nr. 1809, 15. August 2003, ISSN 1364-503X, S. 1721–1748, doi:10.1098/rsta.2003.1232.
  • Ragnar Fjelland: Why general artificial intelligence will not be realized. In: Humanities and Social Sciences Communications. Band 7, Nr. 1, 17. Juni 2020, ISSN 2662-9992, doi:10.1057/s41599-020-0494-4.
  • John McCarthy: From here to human-level AI. In: Artificial Intelligence. Band 171, Nr. 18, Dezember 2007, S. 1174–1182, doi:10.1016/j.artint.2007.10.009 (elsevier.com [abgerufen am 11. April 2024]).
  • Erik E. Guzik, Christian Byrge, Christian Gilde: The originality of machines: AI takes the Torrance Test. In: Journal of Creativity. Band 33, Nr. 3, Dezember 2023, S. 100065, doi:10.1016/j.yjoc.2023.100065 (elsevier.com [abgerufen am 11. April 2024]).
  • Ben Goertzel: Human-level artificial general intelligence and the possibility of a technological singularity. In: Artificial Intelligence. Band 171, Nr. 18, Dezember 2007, S. 1161–1173, doi:10.1016/j.artint.2007.10.011 (elsevier.com [abgerufen am 11. April 2024]).
  • Martin V. Butz: Towards Strong AI. In: KI - Künstliche Intelligenz. Band 35, Nr. 1, März 2021, ISSN 0933-1875, S. 91–101, doi:10.1007/s13218-021-00705-x.
  • Feng Liu, Yong Shi, Ying Liu: Intelligence Quotient and Intelligence Grade of Artificial Intelligence. In: Annals of Data Science. Band 4, Nr. 2, Juni 2017, ISSN 2198-5804, S. 179–191, doi:10.1007/s40745-017-0109-0.
  • John R. Searle: Minds, brains, and programs. In: Behavioral and Brain Sciences. Band 3, Nr. 3, September 1980, ISSN 0140-525X, S. 417–424, doi:10.1017/S0140525X00005756 (cambridge.org [abgerufen am 11. April 2024]).
  • Thomas Nagel: What Is It Like to Be a Bat? In: The Philosophical Review. Band 83, Nr. 4, Oktober 1974, S. 435, doi:10.2307/2183914, JSTOR:2183914.
  • A. M. Turing: I.—COMPUTING MACHINERY AND INTELLIGENCE. In: Mind. Band LIX, Nr. 236, 1. Oktober 1950, ISSN 1460-2113, S. 433–460, doi:10.1093/mind/LIX.236.433 (oup.com [abgerufen am 11. April 2024]).
  • Kaj Sotala, Roman V Yampolskiy: Responses to catastrophic AGI risk: a survey. In: Physica Scripta. Band 90, Nr. 1, 1. Januar 2015, ISSN 0031-8949, S. 018001, doi:10.1088/0031-8949/90/1/018001.
  • Alex P. James: The Why , What , and How of Artificial General Intelligence Chip Development. In: IEEE Transactions on Cognitive and Developmental Systems. Band 14, Nr. 2, Juni 2022, ISSN 2379-8920, S. 333–347, doi:10.1109/TCDS.2021.3069871 (ieee.org [abgerufen am 11. April 2024]).
  • Jing Pei, Lei Deng, Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi: Towards artificial general intelligence with hybrid Tianjic chip architecture. In: Nature. Band 572, Nr. 7767, August 2019, ISSN 0028-0836, S. 106–111, doi:10.1038/s41586-019-1424-8.
  • Mohit Pandey, Michael Fernandez, Francesco Gentile, Olexandr Isayev, Alexander Tropsha, Abraham C. Stern, Artem Cherkasov: The transformational role of GPU computing and deep learning in drug discovery. In: Nature Machine Intelligence. Band 4, Nr. 3, 23. März 2022, ISSN 2522-5839, S. 211–221, doi:10.1038/s42256-022-00463-x.
  • George Deane: Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence. In: Artificial Life. Band 28, Nr. 3, 4. August 2022, ISSN 1064-5462, S. 289–309, doi:10.1162/artl_a_00368 (mit.edu [abgerufen am 11. April 2024]).
  • S. McLean, G.J.M. Read, J. Thompson, C. Baber, N.A. Stanton & P.M. Salmon (2023): The risks associated with Artificial General Intelligence: A systematic review. Journal of Experimental & Theoretical Artificial Intelligence, 35:5, 649–663, doi:10.1080/0952813X.2021.1964003
  • Kaj Sotala, Roman V Yampolskiy: Responses to catastrophic AGI risk: a survey. In: Physica Scripta. Band 90, Nr. 1, 1. Januar 2015, ISSN 0031-8949, S. 018001, doi:10.1088/0031-8949/90/1/018001.

elsevier.com

linkinghub.elsevier.com

  • Stevan Harnad: The symbol grounding problem. In: Physica D: Nonlinear Phenomena. Band 42, Nr. 1-3, Juni 1990, S. 335–346, doi:10.1016/0167-2789(90)90087-6 (elsevier.com [abgerufen am 11. April 2024]).
  • John McCarthy: From here to human-level AI. In: Artificial Intelligence. Band 171, Nr. 18, Dezember 2007, S. 1174–1182, doi:10.1016/j.artint.2007.10.009 (elsevier.com [abgerufen am 11. April 2024]).
  • Erik E. Guzik, Christian Byrge, Christian Gilde: The originality of machines: AI takes the Torrance Test. In: Journal of Creativity. Band 33, Nr. 3, Dezember 2023, S. 100065, doi:10.1016/j.yjoc.2023.100065 (elsevier.com [abgerufen am 11. April 2024]).
  • Ben Goertzel: Human-level artificial general intelligence and the possibility of a technological singularity. In: Artificial Intelligence. Band 171, Nr. 18, Dezember 2007, S. 1161–1173, doi:10.1016/j.artint.2007.10.011 (elsevier.com [abgerufen am 11. April 2024]).

enterprisegarage.io

eu-digitalstrategie.de

euronews.com

fortune.com

futureoflife.org

goertzel.org

huffpost.com

ieee.org

ieeexplore.ieee.org

  • Alex P. James: The Why , What , and How of Artificial General Intelligence Chip Development. In: IEEE Transactions on Cognitive and Developmental Systems. Band 14, Nr. 2, Juni 2022, ISSN 2379-8920, S. 333–347, doi:10.1109/TCDS.2021.3069871 (ieee.org [abgerufen am 11. April 2024]).

independent.co.uk

indianexpress.com

itu.int

jstor.org

  • Thomas Nagel: What Is It Like to Be a Bat? In: The Philosophical Review. Band 83, Nr. 4, Oktober 1974, S. 435, doi:10.2307/2183914, JSTOR:2183914.

kpmg-law.de

louisville.edu

cecs.louisville.edu

mit.edu

direct.mit.edu

  • George Deane: Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence. In: Artificial Life. Band 28, Nr. 3, 4. August 2022, ISSN 1064-5462, S. 289–309, doi:10.1162/artl_a_00368 (mit.edu [abgerufen am 11. April 2024]).

nasscom.in

coe-dsai.nasscom.in

nih.gov

ncbi.nlm.nih.gov

  • Henry Shevlin, Karina Vold, Matthew Crosby, Marta Halina: The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge. In: EMBO reports. Band 20, Nr. 10, 4. Oktober 2019, ISSN 1469-221X, doi:10.15252/embr.201949177, PMC 6776890 (freier Volltext).

nytimes.com

openai.com

oup.com

academic.oup.com

parlonsfutur.com

safe.ai

ssrn.com

papers.ssrn.com

tagesanzeiger.ch

technologyreview.com

techtarget.com

time.com

unite.ai

verlag-alber.de

vetta.org

vice.com

web.archive.org

wikipedia.org

en.wikipedia.org

wired.com

worldcat.org

  • Rolf Pfeifer, Josh Bongard, Simon Grand: How the body shapes the way we think: a new view of intelligence. MIT Press, Cambridge, Mass 2007, ISBN 978-0-262-16239-5 (worldcat.org [abgerufen am 11. April 2024]).
  • Symbols and embodiment: debates on meaning and cognition. Oxford University Press, Oxford ; New York 2008, ISBN 978-0-19-921727-4 (worldcat.org [abgerufen am 11. April 2024]).

yahoo.com

zdb-katalog.de

  • MaryAnne M. Gobble: The Road to Artificial General Intelligence. In: Research-Technology Management. Band 62, Nr. 3, 4. Mai 2019, ISSN 0895-6308, S. 55–59, doi:10.1080/08956308.2019.1587336.
  • Henry Shevlin, Karina Vold, Matthew Crosby, Marta Halina: The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge. In: EMBO reports. Band 20, Nr. 10, 4. Oktober 2019, ISSN 1469-221X, doi:10.15252/embr.201949177, PMC 6776890 (freier Volltext).
  • William F. Clocksin: Artificial intelligence and the future. In: Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. Band 361, Nr. 1809, 15. August 2003, ISSN 1364-503X, S. 1721–1748, doi:10.1098/rsta.2003.1232.
  • Ragnar Fjelland: Why general artificial intelligence will not be realized. In: Humanities and Social Sciences Communications. Band 7, Nr. 1, 17. Juni 2020, ISSN 2662-9992, doi:10.1057/s41599-020-0494-4.
  • Martin V. Butz: Towards Strong AI. In: KI - Künstliche Intelligenz. Band 35, Nr. 1, März 2021, ISSN 0933-1875, S. 91–101, doi:10.1007/s13218-021-00705-x.
  • Feng Liu, Yong Shi, Ying Liu: Intelligence Quotient and Intelligence Grade of Artificial Intelligence. In: Annals of Data Science. Band 4, Nr. 2, Juni 2017, ISSN 2198-5804, S. 179–191, doi:10.1007/s40745-017-0109-0.
  • John R. Searle: Minds, brains, and programs. In: Behavioral and Brain Sciences. Band 3, Nr. 3, September 1980, ISSN 0140-525X, S. 417–424, doi:10.1017/S0140525X00005756 (cambridge.org [abgerufen am 11. April 2024]).
  • A. M. Turing: I.—COMPUTING MACHINERY AND INTELLIGENCE. In: Mind. Band LIX, Nr. 236, 1. Oktober 1950, ISSN 1460-2113, S. 433–460, doi:10.1093/mind/LIX.236.433 (oup.com [abgerufen am 11. April 2024]).
  • Kaj Sotala, Roman V Yampolskiy: Responses to catastrophic AGI risk: a survey. In: Physica Scripta. Band 90, Nr. 1, 1. Januar 2015, ISSN 0031-8949, S. 018001, doi:10.1088/0031-8949/90/1/018001.
  • Alex P. James: The Why , What , and How of Artificial General Intelligence Chip Development. In: IEEE Transactions on Cognitive and Developmental Systems. Band 14, Nr. 2, Juni 2022, ISSN 2379-8920, S. 333–347, doi:10.1109/TCDS.2021.3069871 (ieee.org [abgerufen am 11. April 2024]).
  • Jing Pei, Lei Deng, Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi: Towards artificial general intelligence with hybrid Tianjic chip architecture. In: Nature. Band 572, Nr. 7767, August 2019, ISSN 0028-0836, S. 106–111, doi:10.1038/s41586-019-1424-8.
  • Mohit Pandey, Michael Fernandez, Francesco Gentile, Olexandr Isayev, Alexander Tropsha, Abraham C. Stern, Artem Cherkasov: The transformational role of GPU computing and deep learning in drug discovery. In: Nature Machine Intelligence. Band 4, Nr. 3, 23. März 2022, ISSN 2522-5839, S. 211–221, doi:10.1038/s42256-022-00463-x.
  • George Deane: Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence. In: Artificial Life. Band 28, Nr. 3, 4. August 2022, ISSN 1064-5462, S. 289–309, doi:10.1162/artl_a_00368 (mit.edu [abgerufen am 11. April 2024]).
  • Kaj Sotala, Roman V Yampolskiy: Responses to catastrophic AGI risk: a survey. In: Physica Scripta. Band 90, Nr. 1, 1. Januar 2015, ISSN 0031-8949, S. 018001, doi:10.1088/0031-8949/90/1/018001.