Advertisement

Model-Based Reasoning and Diagnosis in Traditional Chinese Medicine (TCM)

  • Zhikang Wang
Part of the Studies in Computational Intelligence book series (SCI, volume 64)

Summary. It is common knowledge that there is an essential methodological distinction in dealing with diagnosis in Traditional Chinese Medicine(TCM) and in Modern Medicine(MM). For a long time, understanding the diagnosis in TCM has been quite disregarded. The concept of model-based reasoning can help us to get a new and clearer understanding of the cognitive process involved with TCM. In the first part of this paper I will present the most common models coming from the theory of TCM. In the second I will describe how these models are applied. Finally, I will discuss from a methodological point of view the significance of model-based reasoning in the diagnosis of TCM.

Keywords

Traditional Chinese Medicine Mental Model Visual Object Chinese Philosophy Abductive Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bermúdez, J.L.: Thinking without Words. Oxford University Press, New York (2003)Google Scholar
  2. 2.
    Yin, H., Zhang, B., eds.: The Basic Theory of TCM. Shianghai Science and Technology Publishing House, Shianghai (1984)Google Scholar
  3. 3.
    Xiong, J.: The Pith of the Theories of Nei-Ching (The Yellow Emperor’s Canon of medicine). Hunan People Publishing House, Changsha, China (1993)Google Scholar
  4. 4.
    Kao, F.F.: China, Chinese medicine, and the Chinese medical system. In F.F. Kao and J.J. Kao, eds., Recent Advances in Acupuncture Research. Insti-tute for Advanced Research In Asian Science and Medicine Publishing, (1979) 1-39Google Scholar
  5. 5.
    Magnani, L.: Model-based creative abduction. In L. Magnani, N.J. Nersessian, and P. Thagard, eds., Model-Based Reasoning in Science Discoery. Kluwer Academic/Plenum Publishers, New York (1999)Google Scholar
  6. 6.
    Magnani, Lorenzo, and Nancy Nersessian (eds.) (2001), Model-Based Reasoning: Science, Technology, Values. Dordrecht: KluwerGoogle Scholar
  7. 7.
    Neisser, U.: Cognitive Psychology. Appleton-Century-Crofts, New York (1967)Google Scholar
  8. 8.
    Nersessian, N.J.: Model-based reasoning in conceptual change. In L. Magnani, N.J. Nersessian, and P. Thagard, eds., Model-Based Reasoning Science Discovery. Kluwer Academic/Plenum Publishers, New York (1999)Google Scholar
  9. 9.
    Peirce, C.S.: Collected Papers, Vol.1-6, C. Hartsshorne and P. Weiss, eds.; Vol.7-8, A. Burks, ed. Harvard University Press, Cambridge, MA (1931-35, 1958)Google Scholar
  10. 10.
    Deng, T., Guo, Z., eds.: TCM Diagnostics. Shianghai Science and Technology Publishing House Shianghai, China (1984)Google Scholar
  11. 11.
    Wang, Z.: The concept of complexity: Its source, definition, characteristic and function. Philosophical Research 3 (1990)Google Scholar
  12. 12.
    Wang, Z.: On the administrative level structure and complexity of thinking system. Studies in Dialectics of Nature 10 (2003)Google Scholar
  13. 13.
    Wang, Z.: Complexity of human thinking systems and the principle of future intelligent machines. In H.W. Chu, M. Savoie, Y. Hkvarko, and F. Ramos, eds., Proceedings of the International Conference on Computing, Communications and Control Technologies, Volume V. International Institute of Informatics and Systemics Press, USA (2004)Google Scholar
  14. 14.
    Fang, Z.: Preface. In Qu. F., ed., Study on Clinically Theoretical Thinking of TCM. Chinese Curatorial Science and Technology Publishing House, Beijing (1992)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zhikang Wang
    • 1
  1. 1.Department of Social Sciences and EducationSun Yat-sen UniversityGuangzhouP.R.China

Personalised recommendations