Volume 9 Number 11 (Nov. 2014)
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JCP 2014 Vol.9(11): 2761-2770 ISSN: 1796-203X
doi: 10.4304/jcp.9.11.2761-2770

Fuzzy Logic Model of Surprise

Rui Qiao1, 2, Yajun Feng3, Xiaolei Zhong4, Qiaojia Liu5, and Heng He1, 2
1College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China
2Intelligent Information Processing and Real-time Industrial System Hubei Province Key Laboratory, Wuhan, China
3Air Force Early Warning Academy, Wuhan, China
4School of Software, Huazhong University of Science, Wuhan, China
5Tianjin Modern Vocational Technology College, Tianjin, China

Abstract—Emotional agents are useful to variety of computer applications. This paper focuses on the emotion of surprise. Surprise can be considered as the automatic reaction to a mismatch, which plays an important role in the behaviors of intelligent agents. We represent psychological theories of surprise through fuzzy inference systems, as fuzzy logic helps to capture the fuzzy and complex nature of emotions. We infer the degree of surprise from four factors relating to it by three kinds of fuzzy inference systems respectively, and propose fuzzy inference rules as well as reasoning parameters for the systems. Case study shows the surprise generation process by fuzzy inference system. The surprise inference system can be applied into the decision making process of agents in uncertain environments.

Index Terms—Surprise, fuzzy inference, emotion simulation, agent.


Cite: Rui Qiao, Yajun Feng, Xiaolei Zhong, Qiaojia Liu, and Heng He, "Fuzzy Logic Model of Surprise," Journal of Computers vol. 9, no. 11, pp. 2761-2770, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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