期刊
TOPICS IN COGNITIVE SCIENCE
卷 11, 期 2, 页码 338-357出版社
WILEY
DOI: 10.1111/tops.12371
关键词
Emotion; Affective cognition; Inference; Theory of mind
资金
- A*STAR Human-Centric Artificial Intelligence Programme (SERC SSF Project) [A1718g0048]
- A*STAR National Science Scholarship
- Stanford IRiSS Computational Social Science Fellowship
- NIH [1R01MH112560-01]
- DARPA PPAML [FA8750-14-2-0009]
- Sloan Foundation Research Fellowship
Research on social cognition has fruitfully applied computational modeling approaches to explain how observers understand and reason about others' mental states. By contrast, there has been less work on modeling observers' understanding of emotional states. We propose an intuitive theory framework to studying affective cognitionhow humans reason about emotionsand derive a taxonomy of inferences within affective cognition. Using this taxonomy, we review formal computational modeling work on such inferences, including causal reasoning about how others react to events, reasoning about unseen causes of emotions, reasoning with multiple cues, as well as reasoning from emotions to other mental states. In addition, we provide a roadmap for future research by charting out inferencessuch as hypothetical and counterfactual reasoning about emotionsthat are ripe for future computational modeling work. This framework proposes unifying these various types of reasoning as Bayesian inference within a common intuitive Theory of Emotion. Finally, we end with a discussion of important theoretical and methodological challenges that lie ahead in modeling affective cognition.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据