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Emotions in general are a complex phenomenon to comprehend. They have been known to influence decisions as also behavior. Several computational models for emotions have been attempted. In this paper we present the dynamics and working of a multi-agent emotion generating system. Three basic emotions viz. happiness, fear and anger have been used to generate a resultant internal mood for a machine or a robot whose state depends on the immediate past. We compare the results obtained with those generated by a conventional fuzzy model to highlight their significance.

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