Using Bayesian networks for monitoring computer users. (English. Russian original) Zbl 1101.68873

Cybern. Syst. Anal. 40, No. 6, 789-799 (2004); translation from Kibern. Sist. Anal. 2004, No. 6, 3-15 (2004).
Summary: The structure and methods of a knowledgebase are discussed. This knowledge base 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.


68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
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[1] J. Pearl, Causality: Models, Reasoning, and Inference, University Press, Cambridge (2000). · Zbl 0959.68116
[2] J. Pearl, ”Bayesian inference methods,” in: Encyclopedia of Artificial Intelligence, 1, Wiley, New York (1992), pp. 89–98.
[3] 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).
[4] 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).
[5] D. Waterman, A Guide to Expert Systems [Russian translation], Mir, Moscow (1989).
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