Abstract
The structure and methods of a knowledgebase are discussed. This knowledgebase is considered to be a component part of personal expert systems designed for monitoring computer users and computer environments with a view to detecting a harmful effect of computers on the state of health of computer users and making recommendations concerning the neutralization of this effect. Such expert systems are based on Bayesian networks that have a simple topology and represent random relations between harmful conditions of a computer environment and the state of help of users.
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REFERENCES
J. Pearl, Causality: Models, Reasoning, and Inference, University Press, Cambridge (2000).
J. Pearl, “Bayesian inference methods,” in: Encyclopedia of Artificial Intelligence, 1, Wiley, New York (1992), pp. 89–98.
N. M. Mishchenko, O. D. Felizhanko, and N. N. Shchegoleva, “Software tools for protection of users from a harmful effect of computer environments,” Mat. Mashiny i Sistemy, No. 1, 95–100 (2003).
N. M. Mishchenko, “Bayesian networks as a tool for modelling cause-and-effect relations in systems with uncertainty,” Probl. Programmirovaniya, No. 4, 125–131 (2002).
D. Waterman, A Guide to Expert Systems [Russian translation], Mir, Moscow (1989).
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 3–15, November–December 2004.
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Kapitonova, Y.V., Mishchenko, N.M., Felizhanko, O.D. et al. Using Bayesian networks for monitoring computer users. Cybern Syst Anal 40, 789–799 (2004). https://doi.org/10.1007/s10559-005-0019-6
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DOI: https://doi.org/10.1007/s10559-005-0019-6