The study of emotional phenomena, particularly the development of emotion models for intelligent agent implementation, has been mainly based on a perspective of emotion as a human phenomenon and on the assumption that emotions can be divided into discrete and independent categories. We propose an alternative model that emphasizes the continuous nonlinear nature of emotion processes, where emotional phenomena are rooted not on high level cognitive or even nervous structures, but on biophysical principles that are pervasive among biological organisms. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Morgado, L., & Gaspar, G. (2007). Modeling the dynamic nonlinear nature of emotional phenomena. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4738 LNCS, pp. 725–726). Springer Verlag. https://doi.org/10.1007/978-3-540-74889-2_69
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