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Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap
Topics in Cognitive Science 11 (2):338-357 (2019)
Abstract
An important, but relatively neglected, aspect of human theory of mind is emotion inference: understanding how and why a person feels a certain why is central to reasoning about their beliefs, desires and plans. The authors review recent work that has begun to unveil the structure and determinants of emotion inference, organizing them within a unified probabilistic framework.Other Versions
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Citations of this work
Adaptive Imagination: Toward a Mythopoetic Cognitive Science.Stephen Asma - 2021 - Evolutionary Studies in Imaginative Culture 5 (2):1-32.
Cognition Without Neural Representation: Dynamics of a Complex System.Inês Hipólito - 2022 - Frontiers in Psychology 12.
Slurring individuals.Víctor Carranza-Pinedo - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
Slurs' variability, emotional dimensions, and game-theoretic pragmatics.Víctor Carranza-Pinedo - 2023 - In D. Bekki, K. Mineshima & E. McCready, Logic and Engineering of Natural Language Semantics. LENLS 2022. Springer.
Editors' Introduction: Computational Approaches to Social Cognition.Fiery Cushman & Samuel Gershman - 2019 - Topics in Cognitive Science 11 (2):281-298.
References found in this work
Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
Causality: Models, reasoning and inference.Christopher Hitchcock - 2001 - Philosophical Review 110 (4):639-641.
Appraisal Theories of Emotion: State of the Art and Future Development.Agnes Moors, Phoebe C. Ellsworth, Klaus R. Scherer & Nico H. Frijda - 2013 - Emotion Review 5 (2):119-124.
Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
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