Emotion Research: Cognitive Science / Artificial Intelligence

Framework for Categorizing Computational Models

The primary research methodology used by AI and Cognitive Science researchers is the computational modeling approach. Researchers using this approach are exploring emotion at varying levels of abstraction (e.g., agent architectures vs. single phenomena), using different computational methods (e.g., connectionist vs. symbolic), addressing different emotional phenomena (e.g., emotions as heuristics used in planning vs. psychopathology), and basing their models on different theories of affect (e.g., cognitive appraisal theory and primacy of cognition vs. tight coupling between cognition and affect with no process having a dominant status). Several dimensions can be used to characterize the space of computational model of emotion.

Editor: Eva Hudlicka [psychometrixassociates.com]

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