The popularity of rules-based systems (RBSs) is due to their naturalness. This chapter presents the potential applications of RBSs, the working of RBS, forward and backward chaining RBSs, their Algorithms, and inferencing using these systems. The analysis of complexity of preconditions, and efficiency of rule selection are introduced to sufficient depth, as well the cofmparison between the two types of RBSs are presented. A typical RBS, and other methods---model-based and case-based approaches are also discussed. In addition, number of solved, as well exhaustive list of exercises are provided at the end of the chapter for practice. The chapter concludes with its summary.
CITATION STYLE
Chowdhary, K. R. (2020). Rule Based Reasoning. In Fundamentals of Artificial Intelligence (pp. 89–109). Springer India. https://doi.org/10.1007/978-81-322-3972-7_4
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