对人类认知和学习模型的情感过程的附加值
Yoann Stussi1,2, Daniel Dukes1, David Sander1,2
1Swiss Center for Affective Sciences, Campus Biotech, University of Geneva, Geneva, Switzerland yoann.stussi@unige.ch daniel.dukes@unige.ch david.sander@unige.chhttps://www.unige.ch/fapse/e3lab/members1/senior-researchers-and-lecturers/dr-yoann-stussihttps://dukes.space/https://www.unige.ch/fapse/e3lab/director/.
The Behavioral and brain sciences
|September 23, 2024
概括
这项研究强调将情感和情感现象纳入人类学习模型. 情感过程在强化学习,知识获取和社会学习领域中增强模型.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 心理学 心理学 心理学
背景情况:
- 当前的超级学习模型往往忽视了情绪的作用.
- 情感主义研究表明情绪是认知过程中不可或缺的组成部分.
研究的目的:
- 通过结合情感现象来扩展元学习研究.
- 在各种学习模型中展示情感过程的实用性.
主要方法:
- 在元学习中对情感主义的概念扩展.
- 在强化学习,知识获取和社会学习方面举例说明.
主要成果:
- 情感过程为学习模型提供了显著的附加值.
- 情绪的整合增强了对人类学习的理解.
结论:
- 情感现象对于全面的人类学习模型至关重要.
- 未来的研究应该优先考虑影响注入的计算学习方法.
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