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30 - Computational Models of Emotion and Cognition-Emotion Interaction

from Part IV - Computational Modeling in Various Cognitive Fields

Published online by Cambridge University Press:  21 April 2023

By
Eva Hudlicka
Edited by
Ron Sun
Ron Sun
Affiliation:
Rensselaer Polytechnic Institute, New York
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Summary

Recent decades have witnessed a rapid growth in computational emotion modeling. Models are being developed to enhance believability and autonomy of virtual agents and robots, and for basic research purposes, to help elucidate mechanisms mediating affective processes in biological agents.This chapter provides a comprehensive introduction and state-of-the-art overview of this emerging subdiscipline within the broader area of affective computing, focusing on models at the psychological (vs. neuroscience) level, and those that emphasize cognition emotion interactions.Following an overview of emotion research from psychology, the theoretical foundations for model design are discussed. An analytical framework is then introduced, to promote a more abstract perspective on model design and analysis, followed by a discussion of specific approaches to modeling emotion generation and emotion effects, along with examples of representative models.The chapter concludes with a discussion of model validation and evaluation, and highlights some of the open questions and key challenges.

Keywords

computational emotion modelingcognitive-affective architecturescognition-emotion interactionaffective biasessymbolic models of emotion
Type
Chapter
Information
The Cambridge Handbook of Computational Cognitive Sciences , pp. 973 - 1036
Publisher: Cambridge University Press
Print publication year: 2023

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