Towards the construction of computational models of emotions from the perspective of a software system.

Computational models of emotion (CMEs) are software systems designed to emulate the diverse aspects of the human emotion process. This type of model is commonly incorporated into cognitive agent architectures to provide mechanisms underlying affective behavior. The construction of CMEs involve theories that explain human emotion as well as computational artifacts related to the design and implementation of software systems. Although most CMEs reported in the literature provide details on their theoretical foundations, it is uncommon to find details about the computational practices and artifacts utilized during their design and implementation phases. This paper presents and discusses some challenges associated with the computational nature of this type of model: (i) Software quality attributes in CMEs, (ii) Interoperability between CMEs and cognitive components, (iii) Formal procedures for the design of CMEs, and (iv) Reference schemes to validate CMEs. Software engineering is used as a reference to propose and discuss these challenges. In addition, a reference architecture designed by following software engineering practices and artifacts is proposed to discuss the implications of addressing these challenges. The present research is at the intersection of human emotion modeling and software engineering to contribute to the software development process of affective systems. [ABSTRACT FROM AUTHOR]