Abstract
Recently, a new kind of machine intelligence was born, called as UI (Ubit intelligence). The basic difference between UI and AI is encoding; UI is based on word encoding; but AI is based on character encoding. UI machine can learn from human, remember the characters, pronunciation, and meaning of a word like human. UI machine can think among the character, pronunciation, and meaning of words like human. Turing Test is similar to a teacher testing a student; Before Test, tester must teach the content of the test questions to UI machine first; after UI machine learning, tester asks testee questions; to check testee has remembered what he taught; to check testee can think among character, pronunciation, and meaning of words. This paper demonstrates that testee can remember what testee taught; and answer all 6 questions correctly by thinking. UI machine passes Turing Test easily and successfully with score 100. Following on, the works related to this study is briefly introduced. At last, this paper concludes that UI machine is based on word encoding, can form word, form concept, can possess brain like intelligence, also can possess human like Intelligence; therefore UI machine passes Turing Test easily and successfully. On the contrary, AI machine is based on character encoding; can’t form word; can’t form concept, AI machine can’t possess brain like intelligence, nor possess human like Intelligence. Therefore, AI machine can’t pass Turing Test.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Shengyuan, Wu.: Make machine humanlike intelligence, Apr 2020. https://ieeexplore.ieee.org/document/9071113
Shengyuan, W.: Introduction to Ubit semantic computing. In: Proceedings of the 2014 International Conference on Semantic Web and Web Services of Computer Science, July 2014
Shengyuan, Wu.: Methods and apparatus of digital data processing. Chinese Patent Application, Nov 2013
Shengyuan, Wu.: Methods and apparatus of digital data processing. US Patent, US 10637643, Apr 2020
Shengyuan, Wu.: Introduction to multilevel mark coding theory. Proceedings of the 2007 International Conference on Foundations of Computer Science (FCS'07), June 2007
Turing, T.A.M.: Computing Machinery and Intelligence. Oxford University Press on behalf of the Mind Association (1950)
Shengyuan, Wu.: A Chinese parallel word segmentation method based on muletilevel coding technology. Comput. Res. Dev. (1997)
Shengyuan, Wu.: A Chinese word segmentation method, Comput. Res. Dev. (1996)
Shengyuan, W.: Muletilevel coding text telepohone system. Comput. Bus. Inf. 12(23), P20 (1996)
Shengyuan, Wu.: Methods and apparatus of character information processing based on muletilevel coding technology. Chinese State Intellectual Property Office, Patent, Oct 1996
Shengyuan, Wu.: The applicatiion effects of muletilevel coding technology. PC World China, pp. 68–69, Sept 1995
Shengyuan, Wu.: The muletilevel coding theory and the muletilevel coding computer system. J. Shandong Ind. Univ. (1995)
Shengyuan, Wu.: A method to realize alphabetization of Chinese characters based on muletilevel coding technology. China Technol. Online (2000)
Shengyuan, Wu.: Object representing and processing method and apparatus, China. Patent and Trademark Office, CN1567174 (2003)
Shengyuan, Wu.: Object representing methods and apparatus, PCTIB2003060369, Nov 2005
Shengyuan, Wu.: Object representing methods and apparatus, Patent No. US 7724158, Dec 2004
Shengyuan, Wu: Object integrated processing method based on 1-0 UTF-8. In: Proceedings of the 2007 International Conference on Multimedia Systems and Applications (MSA 2007), June 2007
Shengyuan, Wu.: Compression and improvement of web page based on 1-0 UTF-8. In: Proceeding of the 2007 International Conference on Internet Computing (ICOMP 2007), June 2007
Shengyuan, Wu.: 1-0 form of UTF-8. In: Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation, Qinghua University Press, Nov 2006, pp. 354–359
Shengyuan, Wu.: A search method for text and multimedia, the fourth symposium of search engine and web mining of China. J. Shandong Univ. (natural science), 41 (2006)
Shengyuan, Wu.: Object representing methods and apparatus. Chinese Patent Application, June 2003
Shengyuan, Wu.: The muletilevel coding technology is the hope of Chinese software enterprize. Computer World, pp. C1–C2, 14 Aug 2000
Shengyuan, Wu.: Award certificate for machine thinking internet expariment video, Internet society of China, July 2017. http://www.ubit.hk/uai/award.jpg
Acknowledgment
Thank Bin Wu, my wife, for her great contributions and fully supporting. During the three decades, she helps me to do everything about thinking machine; such as experiment, prepare material, discuss problems with me; as difficulties met, she gives me confidence.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wu, S. (2021). Demos of Passing Turing Test Successfully. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1452. Springer, Singapore. https://doi.org/10.1007/978-981-16-5943-0_41
Download citation
DOI: https://doi.org/10.1007/978-981-16-5943-0_41
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5942-3
Online ISBN: 978-981-16-5943-0
eBook Packages: Computer ScienceComputer Science (R0)