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. © 2013 Springer-Verlag.
CITATION STYLE
Qiao, R., Zhong, X., Yang, S., & He, H. (2013). Surprise simulation using fuzzy logic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7996 LNAI, pp. 110–119). https://doi.org/10.1007/978-3-642-39482-9_13
Mendeley helps you to discover research relevant for your work.