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Knowledge Theory and Artificial Intelligence

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Rough Sets and Knowledge Technology (RSKT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4062))

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Abstract

It is proved in the paper that it is knowledge that plays a crucial role for intelligence formation this is because of the fact that intelligence must normally be activated from knowledge and different categories of knowledge will thus lead to different categories of intelligence. On the other hand, knowledge itself should mainly come from information. Therefore, knowledge serves as a channel for linking information and intelligence. Without knowledge, information can hardly be transformed into intelligence. Even more interestingly, a unified theory of artificial intelligence can well be achieved if a comprehensive understanding of knowledge theory is reached.

The work is supported in part by Natural Science Foundation Projects 60496327 and 60575034.

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References

  1. Zhong, Y.X.: Principles of Information Science. BUPT Press, Beijing (2002)

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Author information

Authors and Affiliations

  1. Beijing University of Posts & Telecommunications, Beijing, 100876, P.R. China

    Yixin Zhong

Authors
  1. Yixin Zhong
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Editor information

Editors and Affiliations

  1. College of Computer Science and Technology, Chongqing, University of Posts and Telecommunication, 400065, Chongqing, P.R. China

    Guo-Ying Wang

  2. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Computer Science, University of Regina, Regina,, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhong, Y. (2006). Knowledge Theory and Artificial Intelligence. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_8

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  • DOI: https://doi.org/10.1007/11795131_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36297-5

  • Online ISBN: 978-3-540-36299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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