Surprise simulation using fuzzy logic

Emotional agents are useful to variety of computer application. This paper focuses on the emotion surprise. Surprise is the automatic reaction to a mismatch, which plays an important role in the behaviors of intelligent agents. We represent psychology theories of surprise through a fuzzy inference system, as fuzzy logic helps to capture the fuzzy and complex nature of emotions. The system takes four factors related to surprise as inputs and the degree of surprise as output. We put forward fuzzy inference rules and reasoning parameters for the system. The results of the inference can be used in single or multi-agent system simulation.