Psychology: Techniques and Application

Psychology: Techniques and Application ›› 2019, Vol. 7 ›› Issue (3): 183-192.doi: 10.16842/j.cnki.issn2095-5588.2019.03.007

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Emotion Regulation Based on the Perspective of Reinforcement Learning and Future Prospects

  

  1. (College of Psychology, Liaoning Normal University, Dalian 116029, China)
  • Online:2019-03-01 Published:2019-03-01

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Abstract: From the perspective of reinforcement learning, emotion regulation can be seen as a series of behavioral decisions aimed at achieving the desired emotional state. In order to investigate the internal process and computation mechanism of emotion regulation, we need to understand the important role of appraisal in the process of emotion generation and regulation. Some researchers even constructed models of emotion generation and regulation related to appraisal. Moreover, directions of future researches are prospected: (1) Investigate the classification and dynamic changes of emotion regulation from the perspective of reinforcement learning; (2) Explore the brain network integration mechanism (rather than single regions or circuits) of emotion regulation processunder the perspective of reinforcement learning; (3) The artificial intelligence researches adopt the non-modular concept to deal with the relationship between emotion and cognition and other components.

Key words: emotion regulation, reinforcement learning, prospects

CLC Number: 

  • B842.6
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