Journal of System Simulation
Abstract
Abstract: Emotional intelligence is an important component and development direction of machine intelligence. The purpose of artificial emotion model is to construct emotion models for machines to develope systematic ability of emotion understanding and expression. However, the existing methods are still insufficient in artificial emotion modeling ability. Aiming at the key factor of personalization in the construction of artificial emotion model, this paper proposes a method of mutual mapping between discrete emotion state and dimension space state, and constructs a machine personalized artificial emotion model based on Big Five personality model and emotion state transfer model. The relevant experimental results provide evidence for the rationality of this model. This research clears the barriers brought by the difference of emotion space definition to the machine emotion modeling, provides a new solution for the human-computer personalized interaction, and also provides a reference solution for the understanding and expression of machine emotion.
Recommended Citation
Tian, Zhihang; Chen, Xiaming; and Jiang, Dazhi
(2021)
"An Artificial Emotion Model for the Mutual Mapping Between Discrete State and Dimensional Space,"
Journal of System Simulation: Vol. 33:
Iss.
5, Article 7.
DOI: 10.16182/j.issn1004731x.joss.20-0007
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss5/7
First Page
1062
Revised Date
2020-04-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0007
Last Page
1069
CLC
TP311;TP391.9
Recommended Citation
Tian Zhihang, Chen Xiaming, Jiang Dazhi. An Artificial Emotion Model for the Mutual Mapping Between Discrete State and Dimensional Space[J]. Journal of System Simulation, 2021, 33(5): 1062-1069.
DOI
10.16182/j.issn1004731x.joss.20-0007
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