Emotions were proven to lead an important role in human intelligence. Intelligent agents' research produced many emotional agents. Research on human psychology had long considered the notion of an emotion (e.g., happy) to be a matter of degree; however, most existing research on emotional intelligent agents treat emotions as a black-and-white matter. We are proposing a model called FLAME-Fuzzy Logic Adaptive Model of Emotions. FLAME was modeled to produce emotions and to simulate the emotional intelligence process. FLAME was built using fuzzy rules to explore the capability of fuzzy logic in modeling the emotional process. Fuzzy logic helped us in capturing the fuzzy and complex nature of emotions. Throughout the paper we try to point out the advantages of using fuzzy modeling over conventional models to simulate a better illusion of reality.
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