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International Conference on Natural Computation

ICNC 2006: Advances in Natural Computation pp 251–260Cite as

Affective Computing Model Based on Emotional Psychology

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4221))

Abstract

According to the basic emotions theory, the paper presents personality,mood, and emotion space. The mapping relationship among personality , mood and emotion is built. The equations for updating the affective and mood states are induced and a generic computing model for personality ,mood and emotion simulation for virtual human is constructed. The simulation results demonstrate that the affective model can better simulate the dynamic process of emotion and mood change under various environment stimulus. The model provides a valid method to the emotional robot modelling and affective decision system.

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References

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Author information

Authors and Affiliations

  1. School of Information and Engineering, University of Science and Technology Beijing, 100083, China

    Yang Guoliang, Wang Zhiliang, Wang Guojiang & Chen Fengjun

Authors
  1. Yang Guoliang
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  2. Wang Zhiliang
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  3. Wang Guojiang
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  4. Chen Fengjun
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., 710071, Xi’an, P.R. China

    Xin-bo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Guoliang, Y., Zhiliang, W., Guojiang, W., Fengjun, C. (2006). Affective Computing Model Based on Emotional Psychology. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_37

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  • DOI: https://doi.org/10.1007/11881070_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45901-9

  • Online ISBN: 978-3-540-45902-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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