  This paper presents the computational details of our emotion model, EEGS, and
also provides an overview of a three-stage validation methodology used for the
evaluation of our model, which can also be applicable for other computational
models of emotion. A major gap in existing emotion modelling literature has
been the lack of computational/technical details of the implemented models,
which not only makes it difficult for early-stage researchers to understand the
area but also prevents benchmarking of the developed models for expert
researchers. We partly addressed these issues by presenting technical details
for the computation of appraisal variables in our previous work. In this paper,
we present mathematical formulas for the calculation of emotion intensities
based on the theoretical premises of appraisal theory. Moreover, we will
discuss how we enable our emotion model to reach to a regulated emotional state
for social acceptability of autonomous agents. We hope this paper will allow a
better transparency of knowledge, accurate benchmarking and further evolution
of the field of emotion modelling.
