Surprise simulation using fuzzy logic

Authors:
Rui Qiao;Xiuqin Zhong;Shihan Yang;Heng He
Affiliations:
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China,Hubei Province Key Laboratory, Intelligent Information Processing and Real-time Industrial Syst ...;College of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China;College of Information Sciences and Engineering, Guangxi University for Nationalities, Nanning, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China,Hubei Province Key Laboratory, Intelligent Information Processing and Real-time Industrial Syst ...
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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Abstract

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.