A refutation of Penrose's Godelian case against artificial intelligence

被引:10
|
作者
Bringsjord, S [1 ]
Xiao, H [1 ]
机构
[1] Rensselaer Polytech Inst, Dept Comp Sci, Dept Philosophy Psychol & Cognit Sci, Troy, NY 12180 USA
关键词
Godel's incompleteness theorems; artificial intelligence; computationalism;
D O I
10.1080/09528130050111455
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Having, as it is generally agreed, failed to destroy the computational conception of mind with the Godelian attack he articulated in his The Emperor's New Mind, Penrose has returned, armed with a more elaborate and more fastidious Godelian case, expressed in Chapters 2 and 3 of his Shadows of the Mind. The core argument in these charters is enthymematic, and when formalized, a remarkable number of technical glitches come to light. Over and above these defects, the argument, at best, is an instance of either the fallacy of denying the antecedent, the fallacy of petitio principii, or the fallacy of equivocation. More recently, writing in response to his critics in the electronic journal Psyche, Penrose has offered a Godelian case designed to improve on the version presented in SOTM. But this version is yet again another failure. In falling prey to the errors we uncover, Penrose's new Godelian case is unmasked as the same confused refrain J. R. Lucas initiated 35 years ago.
引用
收藏
页码:307 / 329
页数:23
相关论文
共 50 条
  • [31] CASE AGAINST ARTIFICIAL TURF
    EPSTEIN, RK
    TRIAL, 1977, 13 (01): : 42 - 45
  • [32] Leveraging Artificial Intelligence for Effective Campaigns against Smoking
    Bhandari, Saurabh
    Yemineni, Bhavan C.
    Vadapalli, Kiranmai
    Kundu, Himadri
    Arya, Ashtha
    Laddha, Rashmi
    JOURNAL OF PHARMACY AND BIOALLIED SCIENCES, 2024, 16 : S3053 - S3055
  • [33] Leveraging artificial intelligence in the fight against aortic calcification
    Zhou Jingyue
    Wang Yu
    Liu Yang
    Ma Lifei
    Cui Jinhua
    Zhang Lanlan
    Tang Xiaoqiang
    中华医学杂志英文版, 2025, 138 (05)
  • [34] The Cases for and against Artificial Intelligence in the Medical School Curriculum
    Ngo, Brandon
    Nguyen, Diep
    vanSonnenberg, Eric
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2022, 4 (05)
  • [35] Leveraging artificial intelligence in the fight against infectious diseases
    Wong, Felix
    de la Fuente-nunez, Cesar
    Collins, James J.
    SCIENCE, 2023, 381 (6654) : 164 - 170
  • [36] A citizen's guide to artificial intelligence
    Brantley, Steve
    JOURNAL OF WEB LIBRARIANSHIP, 2023, 17 (1-2) : 31 - 32
  • [37] Who's Afraid of Artificial Intelligence?
    Bindi, Renzo
    GALLERIE E GRANDI OPERE SOTTERRANEE, 2023, (146):
  • [38] Artificial Intelligence and the radiologist's role
    Ratnayake, Manusha
    JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2021, 65 (05) : 495 - 497
  • [39] DARPA's Impact on Artificial Intelligence
    Fouse, Scott
    Cross, Stephen
    Lapin, Zachary J.
    AI MAGAZINE, 2020, 41 (02) : 3 - 8
  • [40] Artificial Intelligence: A Child?s Play
    Kashyap, Ravi
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 166