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Affective Computing Model Based on Rough Sets

  • Conference paper
Affective Computing and Intelligent Interaction (ACII 2005)

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

Abstract

The paper first builds a novel affective model based on rough sets, presents the static description of affective space. Meanwhile, the paper creatively combines rough sets with Markov chain, gives the dynamic forecast of human affective change. In this affective model, some concepts and states are defined such as affective description precision and so on. It is a fundamental work to more research. Simulations are done using Matlab software, and simulation results show that this affective model can well simulate the human emotion. The results of this paper are innovative. It is a new research direction of affective computing that rough sets and affective computing infiltrate each other.

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Author information

Authors and Affiliations

  1. School of Math. and Sys. Sci., Shandong Univ., Jinan, 250100, Shandong, China

    Chen Yong & He Tong

  2. School of Sciences, Jinan Univ., Jinan, 250022, Shandong, China

    Chen Yong

Authors
  1. Chen Yong
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  2. He Tong
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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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Âİ 2005 Springer-Verlag Berlin Heidelberg

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Yong, C., Tong, H. (2005). Affective Computing Model Based on Rough Sets. 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_78

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  • DOI: https://doi.org/10.1007/11573548_78

  • 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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