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Using bayesian networks as an inference engine in KAMET

O. Cairo, R. Penaloza
23rd International Conference of the Chilean Computer Science Society, 2003. SCCC 2003. Proceedings.  
Thus, inference methods for probabilistic networks may be used in KAMET models. * This project has been founded by CONACYT, as project number 33038-A, and Asociación Mexicana de Cultura, A.C. 1 KAMET is  ...  We present a way to combine the benefits of Bayesian networks and KAMET, and reduce their problems.  ...  Also, if an AND node performs as a separator in the Bayesian network of the first transformation, then in the directly formed Bayesian network, the set of its parents will perform as a separator too; this  ... 
doi:10.1109/sccc.2003.1245448 dblp:conf/sccc/CairoP03 fatcat:5bik7uzvjbfmhmiipdrn733oie

INFLUENCE FACTORS OF THE TACIT KNOWLEDGE ELICITATION PROCESS: SYSTEMATIC LITERATURE REVIEW

Cláudio do Rosário, Fernando Gonçalves do Amaral
2021 International journal of knowledge engineering and management  
Results: The main research findings listed by the article were the inclusion of a knowledge engineer considering the SECI model, the indication of predictability in the perception of episodic knowledge  ...  Goal: This systematic review aimed at highlighting and performing an integrated discussion of the factors of the tacit knowledge elicitation process.  ...  The Bayesian Belieff Network (BBN) can be modeled based on the dendrograms, for example, it can be found in Rosário et al. (2022) .  ... 
doi:10.47916/ijkem-vol9n25-2020-83301 fatcat:bgwnomxymfeu7nfgcg5vt76rte