Abstract

Computer models of emotion inform theories of human intelligence and advance human-centric applications. Processes akin to emotion are required by any intelligent entity facing a dynamic, uncertain, and social environment. Psychological theories of emotion (such as appraisal theory) can serve as an architectural specification for machines that aim to recognize, model, and simulate human affect. Realizing psychological theories as working computational models advances science by forcing concreteness, revealing hidden assumptions, and creating dynamic artifacts that can be subject to empirical study.

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