Abstract
The paper presents an expert system based on Logic of Plausible Reasoning (LPR). This formalism reflects human ways of knowledge representation and reasoning. The knowledge is modeled using several kinds of formulas representing statements, hierarchies, similarities, dependencies and implications. Several types of inference patterns are defined. Knowledge uncertainty can be modeled. The paper is structured as follows. Research related to LPR is presented. Next, the formalism is introduced and a Web-based application, which was developed for this research, is described. Finally, a case study is presented – a prototype expert system which recommends a material and a technology for a casting process.
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Legień, G., Śnieżyński, B., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Nawarecki, E., & Jaśkowiec, K. (2015). Expert system with web interface based on logic of plausible reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9262, pp. 13–20). Springer Verlag. https://doi.org/10.1007/978-3-319-22852-5_2
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