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On/Off Switching Mechanism in Knowledge Structure of Reticular Activating System

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Affective Computing and Intelligent Interaction (ACII 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3784))

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Abstract

Reticular Activating system which has a form of small neural networks in the brain is closely related system with the automatic nervous system. It takes charge of the function that distinguishes between memorizing one and the others, accepts the only selected information and discards the unnecessary things.In this paper, we propose Reticular Activating system which has Knowledge acquisition, selection, storing, reconfiguration and retrieving part. In this paper, On/Off Switching mechanism for flexible memory is specially designed and tested.

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References

  1. Shim, J.-Y.: Knowledge Retrieval Using Bayesian Associative Relation in the Three Dimensional ModularSystem. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 630–635. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Goldstein, E.B.: Sensation and Perception,BROOKS/COLE

    Google Scholar 

  3. Pearl, J.: Probabilistic reasoning in intelligent systems. In: Pearl, J. (ed.) Networks plausible inference,Morgan kaufman Publishers, Morgan kaufman Publishers, San Francisco (1988)

    Google Scholar 

  4. Fausett, L.: Fundamentals of Neural Networks. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  5. Haykin, S.: Neural Networks. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  6. Shim, J.-Y., Hwang, C.-S.: Data Extraction from Associative Matrix based on Selective learning system. IJCNN (1999)

    Google Scholar 

  7. Anderson, J.R.: Learning and Memory. Prentice-Hall, Englewood Cliffs

    Google Scholar 

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Author information

Authors and Affiliations

  1. Division of General Studies, Computer Science, Kangnam University, San 6-2, Kugal-ri, Kihung-up,YongIn Si, KyeongKi Do, Korea

    JeongYon Shim

Authors
  1. JeongYon Shim
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,  

    Jianhua Tao

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  3. MIT Media Laboratory, 20 Ames Street, 02139, Cambridge, MA, USA

    Rosalind W. Picard

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© 2005 Springer-Verlag Berlin Heidelberg

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Shim, J. (2005). On/Off Switching Mechanism in Knowledge Structure of Reticular Activating System. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_113

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  • DOI: https://doi.org/10.1007/11573548_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29621-8

  • Online ISBN: 978-3-540-32273-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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