DocumentCode
478154
Title
A Conditional Reflex Model Based Bayesian Network (CRMBBN)
Author
Liu, JianGuo ; Lu, Yansheng ; Chen, JiuYun
Author_Institution
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
3
Lastpage
8
Abstract
A model based Bayesian network (CRMBBN) is presented with classical conditional behaviors. A new concept about sense is introduced, the model regards sense as input and output sense prediction of next time. Reflex is not involved in CRMBBN, the non-classical conditional reflex is put into the instinctive behavior of the agent. So the model constructs Cause-Effect relationships between classical conditional sense and non-classical conditional sense, and the relationships are presented by Bayesian Network. A serial typical experiments have proved that CRMBBN can successfully stimulate many phenomena such as acquire, inter-stimulus effects, extinction and so on.
Keywords
belief networks; multi-agent systems; Bayesian network; CRMBBN; conditional reflex model; learning method; Automotive engineering; Bayesian methods; Computational modeling; Computer network management; Computer networks; Computer science; Page description languages; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Bayesian Network; agent;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.552
Filename
4667090
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