Abstract
We present an expert system shell suitable for smart homes application where a diagnostics or prediction functionality can be used. Presented expert system is based on probabilistic theory and decision networks, which brings natural support for uncertainty handling. Dealing with uncertainty is one of features the expert system has and since it is designed as an empty expert system it can be transformed to other domain e.g. onboard diagnostic application for mobile robots.
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CITATION STYLE
Vechet, S., Krejsa, J., Hrbacek, J., & Chen, K. S. (2018). Probabilistic reasoning in diagnostic expert system for smart homes. In Advances in Intelligent Systems and Computing (Vol. 644, pp. 708–715). Springer Verlag. https://doi.org/10.1007/978-3-319-65960-2_87
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