PETEEI

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Abstract
The emergence of what is now called 'emotional inte lligence' has revealed yet another aspect of human intelligence. Emotions have been shown to have a major impact on many of our everyday functions, including decision-making, planning, communication, and behavior. AI researchers have recently acknowle dged this major role that emotions play, and thus have began to incorporate models for simulating emotions into agents. However, the emotional process is not a simple process; it is of ten linked with many other processes, one of which is learning. It has long been emphasized in psychology that memory and experience help shape the dynamic nature of the emotional process. In thi s paper, we introduce PETEEI (a PET with Evolving Emotional Intelligence). PETEEI is based on a fuzzy logic model for simulati ng emotions in agents, with a particular emphasis on incorporat ing various learning mechanisms so that an agent can adapt its emotions according to its own experience. Additionally, PETE EI is designed to recognize and cope with the various moo ds and emotional responses of its owner. A user evaluation experiment indicated that simulating the dynamic emotional pro cess through learning provides a significantly more believable a gent.

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