Model for Artificial Emotion from a Utilitarian Point of View

Implementation of Emotion in Artificial intelligence is an open field and intensive research is being done on this topic for the past decades. This paper describes a model for triggering six basic emotions described by Paul Ekman by using the concept of Pleasure and Pain. Using pleasure-pain, we classify events into Desirable and Undesirable events. The model uses a probability graph for determining the probability of a certain event happening through a certain path and the intensities of the emotions are a function of pleasure-pain and the corresponding probability derived from the graph. In the end of the paper, we conclude through an illustration that the model is capable of capturing the dynamic nature of emotions.