Expert systems use different technologies based on the scale of development and may involve a combination of rule-based and machine-learning approaches.
Expert systems are developed using various technologies such as knowledge/rule-based systems and machine-learning systems. Small-scale expert systems can be developed by hard-encoding knowledge, while large-scale systems require a robust framework of knowledge and rules.
Large-scale expert systems often involve hybrid systems, combining rule-based and machine-learning approaches. These systems usually do not contain only statistical learning but also explicit programming of rules and knowledge.
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