An Interoperable Framework for Computational Models of Emotion

Enrique Osuna, Sergio Castellanos, Jonathan Hernando Rosales and Luis-Felipe Rodríguez
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Enrique Osuna: Instituto Tecnológico de Sonora, Mexico
Sergio Castellanos: Instituto Tecnológico de Sonora, Mexico
Jonathan Hernando Rosales: Universidad Autónoma de Guadalajara, Mexico
Luis-Felipe Rodríguez: Instituto Tecnológico de Sonora, Mexico

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2022, vol. 16, issue 1, 1-15

Abstract: Computational models of emotion (CMEs) are software systems designed to emulate specific aspects of the human emotions process. The underlying components of CMEs interact with cognitive components of cognitive agent architectures to produce realistic behaviors in intelligent agents. However, in contemporary CMEs, the interaction between affective and cognitive components occurs in ad-hoc manner, which leads to difficulties when new affective or cognitive components should be added in the CME. This paper presents a framework that facilitates taking into account in CMEs the cognitive information generated by cognitive components implemented in cognitive agent architectures. The framework is designed to allow researchers define how cognitive information biases the internal workings of affective components. This framework is inspired in software interoperability practices to enable communication and interpretation of cognitive information and standardize the cognitive-affective communication process by ensuring semantic communication channels used to modulate affective mechanisms of CMEs

Date: 2022
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