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- W2115877650 abstract "Emotional agents are useful to variety of com- puter 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." @default.
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- W2115877650 date "2014-11-01" @default.
- W2115877650 modified "2023-09-27" @default.
- W2115877650 title "Fuzzy Logic Model of Surprise" @default.
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- W2115877650 doi "https://doi.org/10.4304/jcp.9.11.2761-2770" @default.
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