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World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms

Author

Listed:
  • Feng Liu

    (School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Yong Shi

    (Research Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing 100190, China;
    The Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China;
    College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA)

  • Bo Wang

    (Research Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing 100190, China;
    The Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

With increasing concern about Internet intelligence, this paper proposes concepts of the Internet and Internet subsystem IQs over search engines. Based on human IQ calculations, the paper first establishes a 2014 Internet Intelligence Scale and designs an intelligence test bank regarding search engines. Then, an intelligence test using such test bank is carried out on 50 typical search engines from 25 countries and regions across the world. Meanwhile, another intelligence test is also conducted in the human age groups of 6, 12 and 18 years using the same test bank and rules. Next, the absolute IQ and the relative IQ of the 53 test subjects are calculated in accordance with the test results. Finally, the data mining method is applied to find out the features of search engines reflected in the Internet intelligence test and the intelligence difference between search engines and human beings.

Suggested Citation

  • Feng Liu & Yong Shi & Bo Wang, 2015. "World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 221-237.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:02:n:s0219622015500030
    DOI: 10.1142/S0219622015500030
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    Cited by:

    1. Feng Liu & Yong Shi, 2020. "Investigating Laws of Intelligence Based on AI IQ Research," Annals of Data Science, Springer, vol. 7(3), pages 399-416, September.
    2. Feng Liu & Yong Shi & Ying Liu, 2017. "Intelligence Quotient and Intelligence Grade of Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 179-191, June.

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