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Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents

Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents

Clément Raïevsky, François Michaud
Copyright: © 2009 |Pages: 20
ISBN13: 9781605663548|ISBN10: 1605663549|EISBN13: 9781605663555
DOI: 10.4018/978-1-60566-354-8.ch014
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MLA

Raïevsky, Clément, and François Michaud. "Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents." Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, edited by Jordi Vallverdú and David Casacuberta , IGI Global, 2009, pp. 247-266. https://doi.org/10.4018/978-1-60566-354-8.ch014

APA

Raïevsky, C. & Michaud, F. (2009). Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents. In J. Vallverdú & D. Casacuberta (Eds.), Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence (pp. 247-266). IGI Global. https://doi.org/10.4018/978-1-60566-354-8.ch014

Chicago

Raïevsky, Clément, and François Michaud. "Emotion Generation Based on a Mismatch Theory of Emotions for Situated Agents." In Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence, edited by Jordi Vallverdú and David Casacuberta , 247-266. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-354-8.ch014

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Abstract

Emotion plays several important roles in the cognition of human beings and other life forms, and is therefore a legitimate inspiration for providing situated agents with adaptability and autonomy. However, there is no unified theory of emotion and many discoveries are yet to be made in its applicability to situated agents. One function of emotion commonly identified by psychologists is to signal to other cognitive processes that the current situation requires an adaptation. The main purposes of this chapter are to highlight the usefulness of this signaling function of emotion for situated agents and to present an artificial model of anger and fear based on mismatch theories of emotion, which aims at replicating this function. Collective foraging simulations are used to demonstrate the feasibility of the model and to characterize its influence on a decision-making architecture.

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