Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.

ABSTRACT: 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 cognition-how humans reason about emotions-and 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 inferences-such as hypo

SUBMITTER: Ong DC 

PROVIDER: S-EPMC7077035 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature