Emotional Appraisal : A Computational Perspective

Publication Type:
Conference Proceeding
Website proceedings of the Fifth Annual Conference on Advances in Cognitive Systems, 2017, pp. 1 - 15
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Suman Ojha - ACS 2017.pdfPublished version418.8 kB
Research on computational modelling of emotions has received significant attention in the last few decades. As such, several computational models of emotions have been proposed which have provided an unprecedented insight into the implications of the emotion theories emerging from cognitive psychology studies. Yet the existing computational models of emotion have distinct limitations namely:(i) low replicability - difficult to implement the given computational model by reading the description of the model, (ii) domain dependence - model only applicable in one or more predefined scenarios or domains, (iii) low scalability and integrability - difficult to use the system in larger or different domains and difficult to integrate the model in wide range of other intelligent systems. In this paper, we propose a completely domain-independent mathematical representation for computational modelling of emotion that provides better replicability and integrability. The implementation of our model is inspired by appraisal theory - an emotion theory which assumes that emotions result from the cognitive evaluation of a situation.
Please use this identifier to cite or link to this item: