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Modelling Human Skill in Bayesian Network.

Title:Modelling Human Skill in Bayesian Network.
Authors: Koichi Furukawa, Soh Igarashi, Ken Ueno, Tomonobu Ozaki, Souhei Morita, Naoyo Tamagawa, Toshiya Okuyama, and Ikuo Kobayashi
Series:Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue:Vol. 7(2002): nr 012
URL: http://www.ep.liu.se/ea/cis/2002/012/

Abstract: In this paper, we discuss the problem of modelling human skill in Bayesian network. The purpose of modelling human skill is to use the model to improve performances in such activities as playing instruments, dancing, and playing various kinds of ports. The problem of human skill is its tacitness: even professional violinists or cellists do not know how they are playing. The purpose of this research is to model human skill in terms of Bayesian network. This paper gives the basic framework of the research by proposing possible representations and structures of the Bayesian networks for human skill, and by defining the purpose of model usage.

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