title: Simulationist models of face-based emotion recognition.
abstract: Recent studies of emotion mindreading reveal that for three emotions, fear, disgust, and anger, deficits in face-based recognition are paired with deficits in the production of the same emotion. What type of mindreading process would explain this pattern of paired deficits? The simulation approach and the theorizing approach are examined to determine their compatibility with the existing evidence. We conclude that the simulation approach offers the best explanation of the data. What computational steps might be used, however, in simulation-style emotion detection? Four alternative models are explored: a generate-and-test model, a reverse simulation model, a variant of the reverse simulation model that employs an "as if" loop, and an unmediated resonance model.
authors.affiliation: Center for Cognitive Science, Rutgers University, P.O. Box 1179, Piscataway, NJ 08855-1179, USA. goldman@philosophy.rutgers.edu
authors.forename: Alvin I
authors.initials: AI
authors.lastname: Goldman
authors.forename: Chandra Sekhar
authors.initials: CS
authors.lastname: Sripada
mesh_terms: D000339:Affect; D005149:Facial Expression; D005246:Feedback; D006801:Humans; D011582:Psychological Theory; D021641:Recognition, Psychology