DocumentCode :
2183941
Title :
A Preliminary Research on Decision Model Based on Bayesian Techniques for an NPC in Computer Games
Author :
Hong, Yuan ; Liu, Zhen
Author_Institution :
Fac. of Inf. Sci. & Technol., Ningbo Univ., Ningbo, China
Volume :
2
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
240
Lastpage :
243
Abstract :
In modern computer games, a NPC (non-player character) can make choices. In the previous researches, a NPC can have the certain knowledge in a game world; this will reduce the believability of perception for a NPC. A decision model based on Bayesian network and fuzzy logic for a NPC is set up in this paper; a NPC can partially know domain knowledge. A behavior animation of a virtual dog by the model is realized on PC, the results show that the virtual dog can behave believable in watching a house.
Keywords :
Bayes methods; computer animation; computer games; decision theory; fuzzy logic; virtual reality; Bayesian network; Bayesian techniques; NPC; behavior animation; computer games; decision model; domain knowledge; fuzzy logic; game world; non-player character; perception believability; virtual dog; Bayesian techniques; Decision Model; NPC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
Type :
conf
DOI :
10.1109/ISCID.2010.151
Filename :
5692777
Link To Document :
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