Abstract—Emotions are an important aspect of human
intelligence and have been shown to play a significant role in
human decision-making process. Researchers in areas such as
psychology, neuroscience, cognitive science and artificial
intelligence have proposed a variety of emotional models.
However, most of the previous models have not solved the
complexity of the human emotional system owing to the lack of
an effective regulatory mechanism for controlling the
emotions. To address the limitation, a hormone-modulated
emotional model (HMEM) is presented. Since emotions are
imprecise and uncertain in nature, fuzzy logic is employed in
the computation of new emotion intensity. The reported
experiments test HMEM within a simulated autonomous agent
situated in a dynamic environment. Experimental results show
that both the hormonal system and emotional system
contribute positively to the survival of the agent.