A mechanism for biasing the appraisal process in affective agents

2019 
Abstract In this paper we present a mechanism to model the influence of agents’ internal and external factors on the emotional evaluation of stimuli in computational models of emotions. We propose the modification of configurable appraisal dimensions (such as desirability and pleasure) based on influencing factors. As part of the presented mechanism, we introduce influencing models to define the relationship between a given influencing factor and a given set of configurable appraisal dimensions utilized in the emotional evaluation phase. Influencing models translate factors’ influences (on the emotional evaluation) into fuzzy logic adjustments (e.g., a shift in the limits of fuzzy membership functions), which allow biasing the emotional evaluation of stimuli. We implemented a proof-of-concept computational model of emotions based on real-world data about individuals’ emotions. The obtained empirical evidence indicates that the proposed mechanism can properly affect the emotional evaluation of stimuli while preserving the overall behavior of the model of emotions.
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